WileyVCH  Statistik
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Copyright © 20002016 by WileyVCH Weinheim or related companies. All rights reserved.
19 Jul 2019 08:17:57 +0200
20190719T06:17:57Z
Copyright © 20002016 by WileyVCH Weinheim or related companies. All rights reserved.
pfischer@wileyvch.de
pfischer@wileyvch.de
New Books: Statistik
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Loss Models
http://www.wileyvch.de/publish/dt/books/ISBN9781119538080
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119538080"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119538080.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">A modern practical guide to building and using actuarial models.
Loss Models: From Data to Decisions is organized around the principle that actuaries build models in order to analyze risks and make decisions about managing the risks based on conclusions drawn from the analysis. In practice, one begins with data and ends with a business decision. The book flows logically from this principle. It begins with a framework for model building and a description of frequency and severity loss data typically available to actuaries. Parametric models are emphasized throughout.
The frequency and severity models are used in building aggregate loss models, in credibilitybased pricing models, and in loss analysis over multiple time periods.
* Designed as both an educational text as well as a professional reference, Loss Models:
* Assumes little prior knowledge of insurance systems
* Features many fascinating examples taken from insurance files
* Contains a major instructive case study continued through each chapter
* Covers the classical areas of risk theory and loss distributions
* Gives a practical but rigorous treatment of modern credibility theory
* Uses standard statistical concepts, methods, and notation
* Provides modern computational algorithms for implementing methods
* Includes free companion software available from an FTP site
* Deals with many topics on CAS 4B and SOA 151 and 152 actuarial exams
* Includes many exercises based on past CAS and SOA exams. <font color=#0000dd>[Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119538080">mehr...</a></td></tr></table><br><br>
10 Jul 2019 08:17:35 +0200
161562739455
Klugman, Stuart A.
20190710T06:17:35Z

Research Design and Analysis
http://www.wileyvch.de/publish/dt/books/ISBN9781119563594
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119563594"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119563594.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">A concise, straightforward overview of research design and analysis, helping readers form a general basis for designing and conducting research
The practice of designing and analyzing research continues to evolve with advances in technology that enable greater technical analysis of datastrengthening the ability of researchers to study the interventions and relationships of factors and assisting consumers of research to understand and evaluate research reports. Research Design and Analysis is an accessible, wideranging overview of how to design, conduct, analyze, interpret, and present research. This book helps those in the sciences conduct their own research without requiring expertise in statistics and related fields and enables informed reading of published research.
Requiring no background in statistics, this book reviews the purpose, ethics, and rules of research, explains the fundamentals of research design and validity, and describes how to select and employ appropriate statistical techniques and reporting methods. Readers gain knowledge central to various research scenarios, from sifting through reports of metaanalyses and preparing a research paper for submission to a peerreviewed journal to discussing, evaluating, and communicating research results. This book:
* Provides endtoend guidance on the entire research design and analysis process
* Teaches readers how to both conduct their own research and evaluate the research of others
* Offers a clear, concise introduction to fundamental topics ideal for both reference and general education functions
* Presents information derived from the author's experience teaching the subject in realworld classroom settings
* Includes a full array of learning tools including tables, examples, additional resource suggestions, complete references, and appendices that cover statistical analysis software and data sets
Research Design and Analysis: A Primer for the NonStatistician is a valuable source of information for students and trainees in medical and allied health professions, journalism, education, and those interested in reading and comprehending research literature. <font color=#0000dd>[200 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119563594">mehr...</a></td></tr></table><br><br>
10 Jul 2019 08:17:34 +0200
151562739454
Rosenstein, Leslie D.
20190710T06:17:34Z

An Introduction to Econometric Theory
http://www.wileyvch.de/publish/dt/books/ISBN9781119484936
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119484936"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119484936.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">A guide to economics, statistics and finance that explores the mathematical foundations underling econometric methods
An Introduction to Econometric Theory offers a text to help in the mastery of the mathematics that underlie econometric methods and includes a detailed study of matrix algebra and distribution theory. Designed to be an accessible resource, the text explains in clear language why things are being done, and how previous material informs a current argument. The style is deliberately informal with numbered theorems and lemmas avoided. However, very few technical results are quoted without some form of explanation, demonstration or proof.
The author  a noted expert in the field  covers a wealth of topics including: simple regression, basic matrix algebra, the general linear model, distribution theory, the normal distribution, properties of least squares, unbiasedness and efficiency, eigenvalues, statistical inference in regression, t and F tests, the partitioned regression, specification analysis, random regressor theory, introduction to asymptotics and maximum likelihood. Each of the chapters is supplied with a collection of exercises, some of which are straightforward and others more challenging. This important text:
* Presents a guide for teaching econometric methods to undergraduate and graduate students of economics, statistics or finance
* Offers proven classroomtested material
* Contains sets of exercises that accompany each chapter
* Includes a companion website that hosts additional materials, solution manual and lecture slides
Written for undergraduates and graduate students of economics, statistics or finance, An Introduction to Econometric Theory is an essential beginner's guide to the underpinnings of econometrics. <font color=#0000dd>[Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119484936">mehr...</a></td></tr></table><br><br>
24 Jun 2019 08:17:18 +0200
71561357038
Davidson, James
20190624T06:17:18Z

An Introduction to Econometric Theory
http://www.wileyvch.de/publish/dt/books/ISBN9781119484929
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119484929"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119484929.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">A guide to economics, statistics and finance that explores the mathematical foundations underling econometric methods
An Introduction to Econometric Theory offers a text to help in the mastery of the mathematics that underlie econometric methods and includes a detailed study of matrix algebra and distribution theory. Designed to be an accessible resource, the text explains in clear language why things are being done, and how previous material informs a current argument. The style is deliberately informal with numbered theorems and lemmas avoided. However, very few technical results are quoted without some form of explanation, demonstration or proof.
The author  a noted expert in the field  covers a wealth of topics including: simple regression, basic matrix algebra, the general linear model, distribution theory, the normal distribution, properties of least squares, unbiasedness and efficiency, eigenvalues, statistical inference in regression, t and F tests, the partitioned regression, specification analysis, random regressor theory, introduction to asymptotics and maximum likelihood. Each of the chapters is supplied with a collection of exercises, some of which are straightforward and others more challenging. This important text:
* Presents a guide for teaching econometric methods to undergraduate and graduate students of economics, statistics or finance
* Offers proven classroomtested material
* Contains sets of exercises that accompany each chapter
* Includes a companion website that hosts additional materials, solution manual and lecture slides
Written for undergraduates and graduate students of economics, statistics or finance, An Introduction to Econometric Theory is an essential beginner's guide to the underpinnings of econometrics. <font color=#0000dd>[Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119484929">mehr...</a></td></tr></table><br><br>
24 Jun 2019 08:17:17 +0200
61561357037
Davidson, James
20190624T06:17:17Z

Testing Statistical Assumptions in Research
http://www.wileyvch.de/publish/dt/books/ISBN9781119528418
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119528418"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119528418.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Comprehensively teaches the basics of testing statistical assumptions in research and the importance in doing so
This book facilitates researchers in checking the assumptions of statistical tests used in their research by focusing on the importance of checking assumptions in using statistical methods, showing them how to check assumptions, and explaining what to do if assumptions are not met.
Testing Statistical Assumptions in Research discusses the concepts of hypothesis testing and statistical errors in detail, as well as the concepts of power, sample size, and effect size. It introduces SPSS functionality and shows how to segregate data, draw random samples, file split, and create variables automatically. It then goes on to cover different assumptions required in survey studies, and the importance of designing surveys in reporting the efficient findings. The book provides various parametric tests and the related assumptions and shows the procedures for testing these assumptions using SPSS software. To motivate readers to use assumptions, it includes many situations where violation of assumptions affects the findings. Assumptions required for different nonparametric tests such as Chisquare, MannWhitney, Kruskal Wallis, and Wilcoxon signedrank test are also discussed. Finally, it looks at assumptions in nonparametric correlations, such as biserial correlation, tetrachoric correlation, and phi coefficient.
* An excellent reference for graduate students and research scholars of any discipline in testing assumptions of statistical tests before using them in their research study
* Shows readers the adverse effect of violating the assumptions on findings by means of various illustrations
* Describes different assumptions associated with different statistical tests commonly used by research scholars
* Contains examples using SPSS, which helps facilitate readers to understand the procedure involved in testing assumptions
* Looks at commonly used assumptions in statistical tests, such as z, t and F tests, ANOVA, correlation, and regression analysis
Testing Statistical Assumptions in Research is a valuable resource for graduate students of any discipline who write thesis or dissertation for empirical studies in their course works, as well as for data analysts. <font color=#0000dd>[224 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119528418">mehr...</a></td></tr></table><br><br>
17 Jun 2019 08:17:59 +0200
401560752279
Verma, J. P. / AbdelSalam, AbdelSalam G.
20190617T06:17:59Z

Probability, Random Variables, Statistics, and Random Processes
http://www.wileyvch.de/publish/dt/books/ISBN9781119300816
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119300816"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119300816.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications is a comprehensive undergraduatelevel textbook. With its excellent topical coverage, the focus of this book is on the basic principles and practical applications of the fundamental concepts that are extensively used in various Engineering disciplines as well as in a variety of programs in Life and Social Sciences. The text provides students with the requisite building blocks of knowledge they require to understand and progress in their areas of interest. With a simple, clearcut style of writing, the intuitive explanations, insightful examples, and practical applications are the hallmarks of this book.
The text consists of twelve chapters divided into four parts. PartI, Probability (Chapters 1  3), lays a solid groundwork for probability theory, and introduces applications in counting, gambling, reliability, and security. PartII, Random Variables (Chapters 4  7), discusses in detail multiple random variables, along with a multitude of frequentlyencountered probability distributions. PartIII, Statistics (Chapters 8  10), highlights estimation and hypothesis testing. PartIV, Random Processes (Chapters 11  12), delves into the characterization and processing of random processes. Other notable features include:
* Most of the text assumes no knowledge of subject matter past first year calculus and linear algebra
* With its independent chapter structure and rich choice of topics, a variety of syllabi for different courses at the junior, senior, and graduate levels can be supported
* A supplemental website includes solutions to about 250 practice problems, lecture slides, and figures and tables from the text
Given its engaging tone, grounded approach, methodicallypaced flow, thorough coverage, and flexible structure, Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications clearly serves as a must textbook for courses not only in Electrical Engineering, but also in Computer Engineering, Software Engineering, and Computer Science. <font color=#0000dd>[416 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119300816">mehr...</a></td></tr></table><br><br>
17 Jun 2019 08:17:58 +0200
391560752278
Grami, Ali
20190617T06:17:58Z

Statistics Essentials For Dummies
http://www.wileyvch.de/publish/dt/books/ISBN9781119590309
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119590309"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119590309.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Statistics Essentials For Dummies (9781119590309) was previously published as Statistics Essentials For Dummies (9780470618394). While this version features a new Dummies cover and design, the content is the same as the prior release and should not be considered a new or updated product.
Statistics Essentials For Dummies not only provides students enrolled in Statistics I with an excellent highlevel overview of key concepts, but it also serves as a reference or refresher for students in upperlevel statistics courses. Free of review and rampup material, Statistics Essentials For Dummies sticks to the point, with content focused on key course topics only. It provides discrete explanations of essential concepts taught in a typical first semester collegelevel statistics course, from odds and error margins to confidence intervals and conclusions. This guide is also a perfect reference for parents who need to review critical statistics concepts as they help high school students with homework assignments, as well as for adult learners headed back into the classroom who just need a refresher of the core concepts.
The Essentials For Dummies Series
Dummies is proud to present our new series, The Essentials For Dummies. Now students who are prepping for exams, preparing to study new material, or who just need a refresher can have a concise, easytounderstand review guide that covers an entire course by concentrating solely on the most important concepts. From algebra and chemistry to grammar and Spanish, our expert authors focus on the skills students most need to succeed in a subject. <font color=#0000dd>[192 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119590309">mehr...</a></td></tr></table><br><br>
17 Jun 2019 08:17:57 +0200
381560752277
Rumsey, Deborah J.
20190617T06:17:57Z

Advanced Numerical and SemiAnalytical Methods for Differential Equations
http://www.wileyvch.de/publish/dt/books/ISBN9781119423423
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119423423"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119423423.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Examines numerical and semianalytical methods for differential equations that can be used for solving practical ODEs and PDEs
This studentfriendly book deals with various approaches for solving differential equations numerically or semianalytically depending on the type of equations and offers simple example problems to help readers along.
Featuring both traditional and recent methods, Advanced Numerical and Semi Analytical Methods for Differential Equations begins with a review of basic numerical methods. It then looks at Laplace, Fourier, and weighted residual methods for solving differential equations. A new challenging method of Boundary Characteristics Orthogonal Polynomials (BCOPs) is introduced next. The book then discusses Finite Difference Method (FDM), Finite Element Method (FEM), Finite Volume Method (FVM), and Boundary Element Method (BEM). Following that, analytical/semi analytic methods like Akbari Ganji's Method (AGM) and Expfunction are used to solve nonlinear differential equations. Nonlinear differential equations using semianalytical methods are also addressed, namely Adomian Decomposition Method (ADM), Homotopy Perturbation Method (HPM), Variational Iteration Method (VIM), and Homotopy Analysis Method (HAM). Other topics covered include: emerging areas of research related to the solution of differential equations based on differential quadrature and wavelet approach; combined and hybrid methods for solving differential equations; as well as an overview of fractal differential equations. Further, uncertainty in term of intervals and fuzzy numbers have also been included, along with the interval finite element method. This book:
* Discusses various methods for solving linear and nonlinear ODEs and PDEs
* Covers basic numerical techniques for solving differential equations along with various discretization methods
* Investigates nonlinear differential equations using semianalytical methods
* Examines differential equations in an uncertain environment
* Includes a new scenario in which uncertainty (in term of intervals and fuzzy numbers) has been included in differential equations
* Contains solved example problems, as well as some unsolved problems for selfvalidation of the topics covered
Advanced Numerical and Semi Analytical Methods for Differential Equations is an excellent text for graduate as well as post graduate students and researchers studying various methods for solving differential equations, numerically and semianalytically. <font color=#0000dd>[256 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119423423">mehr...</a></td></tr></table><br><br>
17 Jun 2019 08:17:45 +0200
281560752265
Chakraverty, Snehashish / Mahato, Nisha / Karunakar, Perumandla / Dilleswar Rao, Tharasi
20190617T06:17:45Z

Model Identification and Data Analysis
http://www.wileyvch.de/publish/dt/books/ISBN9781119546368
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119546368"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119546368.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">This book is about constructing models from experimental data. It covers a range of topics, from statistical data prediction to Kalman filtering, from blackbox model identification to parameter estimation, from spectral analysis to predictive control.
Written for graduate students, this textbook offers an approach that has proven successful throughout the many years during which its author has taught these topics at his University.
The book:
* Contains accessible methods explained stepbystep in simple terms
* Offers an essential tool useful in a variety of fields, especially engineering, statistics, and mathematics
* Includes an overview on random variables and stationary processes, as well as an introduction to discrete time models and matrix analysis
* Incorporates historical commentaries to put into perspective the developments that have brought the discipline to its current state
* Provides many examples and solved problems to complement the presentation and facilitate comprehension of the techniques presented <font color=#0000dd>[416 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119546368">mehr...</a></td></tr></table><br><br>
17 Jun 2019 08:17:30 +0200
161560752250
Bittanti, Sergio
20190617T06:17:30Z

Statistik und Forschungsmethoden für Psychologen und Sozialwissenschaftler für Dummies
http://www.wileyvch.de/publish/dt/books/ISBN9783527715534
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9783527715534"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9783527715534.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Sie erfahren in diesem Buch, welche statistischen Methoden Ihnen zur Verfügung stehen und wie Sie sie einsetzen, wie Sie SPSS zu Ihrem Vorteil nutzen und wie Sie eine Forschungsstudie richtig anlegen, durchführen und auswerten. <font color=#0000dd>[732 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9783527715534">mehr...</a></td></tr></table><br><br>
13 Jun 2019 08:17:23 +0200
51560406643
Dempster, Martin / Hanna, Donncha
20190613T06:17:23Z

GameTheoretic Foundations for Probability and Finance
http://www.wileyvch.de/publish/dt/books/ISBN9780470903056
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9780470903056"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9780470903056.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Gametheoretic probability and finance come of age
Glenn Shafer and Vladimir Vovk's Probability and Finance, published in 2001, showed that perfectinformation games can be used to define mathematical probability. Based on fifteen years of further research, GameTheoretic Foundations for Probability and Finance presents a mature view of the foundational role game theory can play. Its account of probability theory opens the way to new methods of prediction and testing and makes many statistical methods more transparent and widely usable. Its contributions to finance theory include purely gametheoretic accounts of Ito's stochastic calculus, the capital asset pricing model, the equity premium, and portfolio theory.
GameTheoretic Foundations for Probability and Finance is a book of research. It is also a teaching resource. Each chapter is supplemented with carefully designed exercises and notes relating the new theory to its historical context.
Praise from early readers
"Ever since Kolmogorov's Grundbegriffe, the standard mathematical treatment of probability theory has been measuretheoretic. In this groundbreaking work, Shafer and Vovk give a gametheoretic foundation instead. While being just as rigorous, the gametheoretic approach allows for vast and useful generalizations of classical measuretheoretic results, while also giving rise to new, radical ideas for prediction, statistics and mathematical finance without stochastic assumptions. The authors set out their theory in great detail, resulting in what is definitely one of the most important books on the foundations of probability to have appeared in the last few decades."  Peter Grünwald, CWI and University of Leiden
"Shafer and Vovk have thoroughly rewritten their 2001 book on the gametheoretic foundations for probability and for finance. They have included an account of the tremendous growth that has occurred since, in the gametheoretic and pathwise approaches to stochastic analysis and in their applications to continuoustime finance. This new book will undoubtedly spur a better understanding of the foundations of these very important fields, and we should all be grateful to its authors."  Ioannis Karatzas, Columbia University <font color=#0000dd>[480 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9780470903056">mehr...</a></td></tr></table><br><br>
10 Jun 2019 08:17:42 +0200
251560147462
Shafer, Glenn / Vovk, Vladimir
20190610T06:17:42Z

Visual Analytics with Tableau
http://www.wileyvch.de/publish/dt/books/ISBN9781119560203
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119560203"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119560203.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">A fourcolor journey through a complete Tableau visualization
Tableau is a popular data visualization tool that's easy for individual desktop use as well as enterprise. Used by financial analysts, marketers, statisticians, business and sales leadership, and many other job roles to present data visually for easy understanding, it's no surprise that Tableau is an essential tool in our datadriven economy.
Visual Analytics with Tableau is a complete journey in Tableau visualization for a nontechnical business user. You can start from zero, connect your first data, and get right into creating and publishing awesome visualizations and insightful dashboards.
* Learn the different types of charts you can create
* Use aggregation, calculated fields, and parameters
* Create insightful maps
* Share interactive dashboards
Geared toward beginners looking to get their feet wet with Tableau, this book makes it easy and approachable to get started right away. <font color=#0000dd>[288 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119560203">mehr...</a></td></tr></table><br><br>
3 Jun 2019 08:17:51 +0200
321559542671
Loth, Alexander
20190603T06:17:51Z

Statistics Workbook For Dummies with Online Practice
http://www.wileyvch.de/publish/dt/books/ISBN9781119547518
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119547518"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119547518.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Practice your way to a higher statistics score
The adage that "practice makes perfect" is never truer than with math problems. Statistics Workbook For Dummies with Online Practice provides succinct content reviews for every topic, with plenty of examples and practice problems for each concept, in the book and online.
Every lesson begins with a concept review, followed by a few example problems and plenty of practice problems. There's a stepbystep solution for every problem, with tips and tricks to help with comprehension and retention. New for this edition, free online practice quizzes for each chapter provide extra opportunities to test your knowledge and understanding.
* Get FREE access to chapter quizzes in an online test bank
* Work along with each chapter or use the test bank for final exam review
* Discover which statistical measures are most meaningful
Scoring high in your Statistics class has never been easier! <font color=#0000dd>[336 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119547518">mehr...</a></td></tr></table><br><br>
3 Jun 2019 08:17:50 +0200
311559542670
Rumsey, Deborah J.
20190603T06:17:50Z

Loss Models
http://www.wileyvch.de/publish/dt/books/ISBN9781119523789
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119523789"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119523789.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">A guide that provides indepth coverage of modeling techniques used throughout many branches of actuarial science, revised and updated
Now in its fifth edition, Loss Models: From Data to Decisions puts the focus on material tested in the Society of Actuaries (SOA) newly revised Exams STAM (ShortTerm Actuarial Mathematics) and LTAM (LongTerm Actuarial Mathematics). Updated to reflect these exam changes, this vital resource offers actuaries, and those aspiring to the profession, a practical approach to the concepts and techniques needed to succeed in the profession. The techniques are also valuable for anyone who uses loss data to build models for assessing risks of any kind.
Loss Models contains a wealth of examples that highlight the realworld applications of the concepts presented, and puts the emphasis on calculations and spreadsheet implementation. With a focus on the loss process, the book reviews the essential quantitative techniques such as random variables, basic distributional quantities, and the recursive method, and discusses techniques for classifying and creating distributions. Parametric, nonparametric, and Bayesian estimation methods are thoroughly covered. In addition, the authors offer practical advice for choosing an appropriate model. This important text:
* Presents a revised and updated edition of the classic guide for actuaries that aligns with newly introduced Exams STAM and LTAM
* Contains a wealth of exercises taken from previous exams
* Includes fresh and additional content related to the material required by the Society of Actuaries (SOA) and the Canadian Institute of Actuaries (CIA)
* Offers a solutions manual available for further insight, and all the data sets and supplemental material are posted on a companion site
Written for students and aspiring actuaries who are preparing to take the SOA examinations, Loss Models offers an essential guide to the concepts and techniques of actuarial science. <font color=#0000dd>[560 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119523789">mehr...</a></td></tr></table><br><br>
29 May 2019 08:17:29 +0200
111559110649
Klugman, Stuart A. / Panjer, Harry H. / Willmot, Gordon E.
20190529T06:17:29Z

Introduction to Probability
http://www.wileyvch.de/publish/dt/books/ISBN9781118123348
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781118123348"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781118123348.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">With a focus on models and tangible applications of probability from physics, computer science, and other related disciplines, this book successfully guides readers through fundamental coverage for enhanced understanding of the problems. Topical coverage includes: bivariate discrete random, continuous random, and stochastic independencemultivariate random variables; transformations of random variables; covariancecorrelation; multivariate distributions; the Central Limit Theorem; stochastic processes; and more. The book is ideal for a second course in probability and for researchers and professionals. <font color=#0000dd>[624 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781118123348">mehr...</a></td></tr></table><br><br>
29 May 2019 08:17:28 +0200
101559110648
Balakrishnan, N. / Koutras, Markos V. / Politis, Konstadinos G.
20190529T06:17:28Z

Statistical Analysis with Missing Data
http://www.wileyvch.de/publish/dt/books/ISBN9780470526798
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9780470526798"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9780470526798.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">An uptodate, comprehensive treatment of a classic text on missing data in statistics
The topic of missing data has gained considerable attention in recent decades. This new edition by two acknowledged experts on the subject offers an uptodate account of practical methodology for handling missing data problems. Blending theory and application, authors Roderick Little and Donald Rubin review historical approaches to the subject and describe simple methods for multivariate analysis with missing values. They then provide a coherent theory for analysis of problems based on likelihoods derived from statistical models for the data and the missing data mechanism, and then they apply the theory to a wide range of important missing data problems.
Statistical Analysis with Missing Data, Third Edition starts by introducing readers to the subject and approaches toward solving it. It looks at the patterns and mechanisms that create the missing data, as well as a taxonomy of missing data. It then goes on to examine missing data in experiments, before discussing completecase and availablecase analysis, including weighting methods. The new edition expands its coverage to include recent work on topics such as nonresponse in sample surveys, causal inference, diagnostic methods, and sensitivity analysis, among a host of other topics.
* An updated "classic" written by renowned authorities on the subject
* Features over 150 exercises (including many new ones)
* Covers recent work on important methods like multiple imputation, robust alternatives to weighting, and Bayesian methods
* Revises previous topics based on past student feedback and class experience
* Contains an updated and expanded bibliography
Statistical Analysis with Missing Data, Third Edition is an ideal textbook for upper undergraduate and/or beginning graduate level students of the subject. It is also an excellent source of information for applied statisticians and practitioners in government and industry. <font color=#0000dd>[464 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9780470526798">mehr...</a></td></tr></table><br><br>
28 May 2019 08:17:29 +0200
81559024249
Little, Roderick J. A. / Rubin, Donald B.
20190528T06:17:29Z

Actuarial Finance
http://www.wileyvch.de/publish/dt/books/ISBN9781119137009
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119137009"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119137009.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">A new textbook offering a comprehensive introduction to models and techniques for the emerging field of actuarial Finance
Drs. Boudreault and Renaud answer the need for a clear, applicationoriented guide to the growing field of actuarial finance with this volume, which focuses on the mathematical models and techniques used in actuarial finance for the pricing and hedging of actuarial liabilities exposed to financial markets and other contingencies. With roots in modern financial mathematics, actuarial finance presents unique challenges due to the longterm nature of insurance liabilities, the presence of mortality or other contingencies and the structure and regulations of the insurance and pension markets.
Motivated, designed and written for and by actuaries, this book puts actuarial applications at the forefront in addition to balancing mathematics and finance at an adequate level to actuarial undergraduates. While the classical theory of financial mathematics is discussed, the authors provide a thorough grounding in such crucial topics as recognizing embedded options in actuarial liabilities, adequately quantifying and pricing liabilities, and using derivatives and other assets to manage actuarial and financial risks.
Actuarial applications are emphasized and illustrated with about 300 examples and 200 exercises. The book also comprises endofchapter pointform summaries to help the reader review the most important concepts. Additional topics and features include:
* Compares pricing in insurance and financial markets
* Discusses eventtriggered derivatives such as weather, catastrophe and longevity derivatives and how they can be used for risk management;
* Introduces equitylinked insurance and annuities (EIAs, VAs), relates them to common derivatives and how to manage mortality for these products
* Introduces pricing and replication in incomplete markets and analyze the impact of market incompleteness on insurance and risk management;
* Presents immunization techniques alongside Greeksbased hedging;
* Covers in detail how to deltagamma/rho/vega hedge a liability and how to rebalance periodically a hedging portfolio.
This text will prove itself a firm foundation for undergraduate courses in financial mathematics or economics, actuarial mathematics or derivative markets. It is also highly applicable to current and future actuaries preparing for the exams or actuary professionals looking for a valuable addition to their reference shelf.
As of 2019, the book covers significant parts of the Society of Actuaries' Exams FM, IFM and QFI Core, and the Casualty Actuarial Society's Exams 2 and 3F. It is assumed the reader has basic skills in calculus (differentiation and integration of functions), probability (at the level of the Society of Actuaries' Exam P), interest theory (time value of money) and, ideally, a basic understanding of elementary stochastic processes such as random walks. <font color=#0000dd>[592 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119137009">mehr...</a></td></tr></table><br><br>
22 May 2019 08:17:51 +0200
321558505871
Boudreault, Mathieu / Renaud, JeanFrancois
20190522T06:17:51Z

Biostatistics
http://www.wileyvch.de/publish/dt/books/ISBN9781119588825
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119588825"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119588825.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer indepth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understandand appropriately useprobability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine.
Clearlydefined pedagogical tools help students stay uptodate on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference. <font color=#0000dd>[Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119588825">mehr...</a></td></tr></table><br><br>
20 May 2019 08:17:26 +0200
121558333046
Daniel, Wayne W. / Cross, Chad L.
20190520T06:17:26Z

Statistics
http://www.wileyvch.de/publish/dt/books/ISBN9781119588948
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119588948"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119588948.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Statistics: Principles and Methods, 8th Edition provides students and business professionals with a comprehensive introduction to statistics concepts, terminology, and methods with a wide array of practical applications. Realworld data provides an easily relatable frame of reference, while numerous examples reinforce key ideas and demonstrate critical concepts to help ease student comprehension. Designed for those seeking a highly practical introduction to statistical measurement, reasoning, and analysis, this book requires no specific mathematical background and leaves derivations behind in favor of logic, reasoning, and modern statistics software.
Concepts are introduced first in a reallife setting to illustrate immediate relevancy, and are subsequently expanded to relate underlying mechanisms, limitations, and further applications. An emphasis on the relationship between validity and assumptions underscores the importance of critical thinking and the use of appropriate models while instilling thoughtful habits that lead to accuracy in interpretation. Going beyond the typical introductory text to keep the focus on application, this book gives students a deeper understanding of statistics as it is used every day across disciplines and industries. <font color=#0000dd>[Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119588948">mehr...</a></td></tr></table><br><br>
15 May 2019 08:17:25 +0200
111557901045
Johnson, Richard A. / Bhattacharyya, Gouri K.
20190515T06:17:25Z

Data Science Using Python and R
http://www.wileyvch.de/publish/dt/books/ISBN9781119526810
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119526810"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119526810.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Learn data science by doing data science!
Data Science Using Python and R will get you plugged into the world's two most widespread opensource platforms for data science: Python and R.
Data science is hot. Bloomberg called data scientist "the hottest job in America." Python and R are the top two opensource data science tools in the world. In Data Science Using Python and R, you will learn stepbystep how to produce handson solutions to realworld business problems, using stateoftheart techniques.
Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python and R. Then, each chapter presents stepbystep instructions and walkthroughs for solving data science problems using Python and R.
Those with analytics experience will appreciate having a onestop shop for learning how to do data science using Python and R. Topics covered include data preparation, exploratory data analysis, preparing to model the data, decision trees, model evaluation, misclassification costs, naïve Bayes classification, neural networks, clustering, regression modeling, dimension reduction, and association rules mining.
Further, exciting new topics such as random forests and general linear models are also included. The book emphasizes datadriven error costs to enhance profitability, which avoids the common pitfalls that may cost a company millions of dollars.
Data Science Using Python and R provides exercises at the end of every chapter, totaling over 500 exercises in the book. Readers will therefore have plenty of opportunity to test their newfound data science skills and expertise. In the Handson Analysis exercises, readers are challenged to solve interesting business problems using realworld data sets. <font color=#0000dd>[240 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119526810">mehr...</a></td></tr></table><br><br>
15 May 2019 08:17:16 +0200
31557901036
Larose, Chantal D. / Larose, Daniel T.
20190515T06:17:16Z

GARCH Models
http://www.wileyvch.de/publish/dt/books/ISBN9781119313571
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119313571"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119313571.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Provides a comprehensive and updated study of GARCH models and their applications in finance, covering new developments in the discipline
This book provides a comprehensive and systematic approach to understanding GARCH time series models and their applications whilst presenting the most advanced results concerning the theory and practical aspects of GARCH. The probability structure of standard GARCH models is studied in detail as well as statistical inference such as identification, estimation, and tests. The book also provides new coverage of several extensions such as multivariate models, looks at financial applications, and explores the very validation of the models used.
GARCH Models: Structure, Statistical Inference and Financial Applications, 2nd Edition features a new chapter on ParameterDriven Volatility Models, which covers Stochastic Volatility Models and Markov Switching Volatility Models. A second new chapter titled Alternative Models for the Conditional Variance contains a section on Stochastic Recurrence Equations and additional material on EGARCH, LogGARCH, GAS, MIDAS, and intraday volatility models, among others. The book is also updated with a more complete discussion of multivariate GARCH; a new section on Cholesky GARCH; a larger emphasis on the inference of multivariate GARCH models; a new set of corrected problems available online; and an uptodate list of references.
* Features uptodate coverage of the current research in the probability, statistics, and econometric theory of GARCH models
* Covers significant developments in the field, especially in multivariate models
* Contains completely renewed chapters with new topics and results
* Handles both theoretical and applied aspects
* Applies to researchers in different fields (time series, econometrics, finance)
* Includes numerous illustrations and applications to real financial series
* Presents a large collection of exercises with corrections
* Supplemented by a supporting website featuring R codes, Fortran programs, data sets and Problems with corrections
GARCH Models, 2nd Edition is an authoritative, stateoftheart reference that is ideal for graduate students, researchers, and practitioners in business and finance seeking to broaden their skills of understanding of econometric time series models. <font color=#0000dd>[504 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119313571">mehr...</a></td></tr></table><br><br>
29 Apr 2019 08:18:39 +0200
761556518719
Francq, Christian / Zakoian, JeanMichel
20190429T06:18:39Z

Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance
http://www.wileyvch.de/publish/dt/books/ISBN9781119166061
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119166061"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119166061.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">A comprehensive introduction to the core issues of stochastic differential equations and their effective application
Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance offers a comprehensive examination to the most important issues of stochastic differential equations and their applications. The author  a noted expert in the field  includes myriad illustrative examples in modelling dynamical phenomena subject to randomness, mainly in biology, bioeconomics and finance, that clearly demonstrate the usefulness of stochastic differential equations in these and many other areas of science and technology.
The text also features reallife situations with experimental data, thus covering topics such as Monte Carlo simulation and statistical issues of estimation, model choice and prediction. The book includes the basic theory of option pricing and its effective application using reallife. The important issue of which stochastic calculus, Itô or Stratonovich, should be used in applications is dealt with and the associated controversy resolved. Written to be accessible for both mathematically advanced readers and those with a basic understanding, the text offers a wealth of exercises and examples of application. This important volume:
* Contains a complete introduction to the basic issues of stochastic differential equations and their effective application
* Includes many examples in modelling, mainly from the biology and finance fields
* Shows how to: Translate the physical dynamical phenomenon to mathematical models and back, apply with real data, use the models to study different scenarios and understand the effect of human interventions
* Conveys the intuition behind the theoretical concepts
* Presents exercises that are designed to enhance understanding
* Offers a supporting website that features solutions to exercises and R code for algorithm implementation
Written for use by graduate students, from the areas of application or from mathematics and statistics, as well as academics and professionals wishing to study or to apply these models, Introduction to Stochastic Differential Equations with Applications to Modelling in Biology and Finance is the authoritative guide to understanding the issues of stochastic differential equations and their application. <font color=#0000dd>[304 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119166061">mehr...</a></td></tr></table><br><br>
29 Apr 2019 08:18:38 +0200
751556518718
Braumann, Carlos A.
20190429T06:18:38Z

Efficient Multirate Teletraffic Loss Models Beyond Erlang
http://www.wileyvch.de/publish/dt/books/ISBN9781119426882
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119426882"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119426882.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">A comprehensive study in efficient multirate teletraffic loss models used for designing, performance analysis, and optimization of systems and networks
Efficient Multirate Teletraffic Loss Models Beyond Erlang is an easytoread book filled with numerous efficient teletraffic loss models. Presented in three sectionsTeletraffic Models of Random Input, Teletraffic Models of QuasiRandom Input, and Teletraffic Models of Batched Poisson Inputit covers everything that a professional experienced with optimization and dimensioning of telecom networks could ever need to know.
This unique book provides a detailed explanation on how efficient multirate teletraffic loss models are extracted and applied, and guides readers through almost all network technologies and services. Starting from the basics, it steadily increases in difficulty to keep the book selfcontained and to provide a better understanding to those who might be new to the subject. It includes detailed explanations of the complex teletraffic modelsmany of which were developed by the authors. Tutorial examples, several backed by supplementary software, are accompanied by intermediate results and figures. Additionally, endofchapter applications describe the applicability of the models to modern network technologies, updating the incorporated teletraffic models of commercial packages/tools.
* Uses the classic EMLM (Erlang Multirate Loss Model) as its base to present a comprehensive range of teletraffic models through detailed explanation and numerical examples
* Filled with the authors' own original teletraffic modelsmaking for a wholly unique learning experience
* Offers a clear, selfcontained presentation with a beginning, middle, and end
* Starts with simple models, then moves to more complex models, before finishing with complicated ones
* Supplemented by an accompanying website with computer implementation of the most important models
Directed primarily at telecommunication engineers, Efficient Multirate Teletraffic Loss Models Beyond Erlang is also useful for telecom operators or managers on the higher and average levels, as well a Ph.D. students, researchers, and modelers. <font color=#0000dd>[576 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119426882">mehr...</a></td></tr></table><br><br>
29 Apr 2019 08:17:36 +0200
191556518656
Moscholios, Ioannis D. / Logothetis, Michael D.
20190429T06:17:36Z

Nonparametric Statistical Process Control
http://www.wileyvch.de/publish/dt/books/ISBN9781118456033
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781118456033"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781118456033.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">A unique approach to understanding the foundations of statistical quality control with a focus on the latest developments in nonparametric control charting methodologies
Statistical Process Control (SPC) methods have a long and successful history and have revolutionized many facets of industrial production around the world. This book addresses recent developments in statistical process control bringing the modern use of computers and simulations along with theory within the reach of both the researchers and practitioners. The emphasis is on the burgeoning field of nonparametric SPC (NSPC) and the many new methodologies developed by researchers worldwide that are revolutionizing SPC.
Over the last several years research in SPC, particularly on control charts, has seen phenomenal growth. Control charts are no longer confined to manufacturing and are now applied for process control and monitoring in a wide array of applications, from education, to environmental monitoring, to disease mapping, to crime prevention. This book addresses quality control methodology, especially control charts, from a statistician's viewpoint, striking a careful balance between theory and practice. Although the focus is on the newer nonparametric control charts, the reader is first introduced to the main classes of the parametric control charts and the associated theory, so that the proper foundational background can be laid.
* Reviews basic SPC theory and terminology, the different types of control charts, control chart design, sample size, sampling frequency, control limits, and more
* Focuses on the distributionfree (nonparametric) charts for the cases in which the underlying process distribution is unknown
* Provides guidance on control chart selection, choosing control limits and other quality related matters, along with all relevant formulas and tables
* Uses computer simulations and graphics to illustrate concepts and explore the latest research in SPC
Offering a uniquely balanced presentation of both theory and practice, Nonparametric Methods for Statistical Quality Control is a vital resource for students, interested practitioners, researchers, and anyone with an appropriate background in statistics interested in learning about the foundations of SPC and latest developments in NSPC. <font color=#0000dd>[448 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781118456033">mehr...</a></td></tr></table><br><br>
23 Apr 2019 08:17:28 +0200
161556000248
Chakraborti, Subhabrata / Graham, Marien
20190423T06:17:28Z

The Real Work of Data Science
http://www.wileyvch.de/publish/dt/books/ISBN9781119570707
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119570707"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119570707.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">The essential guide for data scientists and for leaders who must get more from their data science teams
The Economist boldly claims that data are now "the world's most valuable resource." But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellence. The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become datadriven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is "the most valuable resource."
"These two authors are worldclass experts on analytics, data management, and data quality; they've forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it."
Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy
"I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today's issues, such as computational Big Data."
Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University
"Data science is critical for competitiveness, for good government, for correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers."
A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University <font color=#0000dd>[136 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119570707">mehr...</a></td></tr></table><br><br>
15 Apr 2019 08:18:31 +0200
691555309111
Kenett, Ron S. / Redman, Thomas C.
20190415T06:18:31Z

Fractional Brownian Motion
http://www.wileyvch.de/publish/dt/books/ISBN9781786302601
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786302601"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781786302601.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">This monograph studies the relationships between fractional Brownian motion (fBm) and other processes of more simple form. In particular, this book solves the problem of the projection of fBm onto the space of Gaussian martingales that can be represented as Wiener integrals with respect to a Wiener process. It is proved that there exists a unique martingale closest to fBm in the uniform integral norm. Numerical results concerning the approximation problem are given. The upper bounds of distances from fBm to the different subspaces of Gaussian martingales are evaluated and the numerical calculations are involved. The approximations of fBm by a uniformly convergent series of Lebesgue integrals, semimartingales and absolutely continuous processes are presented.
As auxiliary but interesting results, the bounds from below and from above for the coefficient appearing in the representation of fBm via the Wiener process are established and some new inequalities for Gamma functions, and even for trigonometric functions, are obtained. <font color=#0000dd>[Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786302601">mehr...</a></td></tr></table><br><br>
15 Apr 2019 08:17:54 +0200
361555309074
Banna, Oksana / Mishura, Yuliya / Ralchenko, Kostiantyn / Shklyar, Sergiy
20190415T06:17:54Z

Practical Applications of Bayesian Reliability
http://www.wileyvch.de/publish/dt/books/ISBN9781119287971
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119287971"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119287971.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Demonstrates how to solve reliability problems using practical applications of Bayesian models
This selfcontained reference provides fundamental knowledge of Bayesian reliability and utilizes numerous examples to show how Bayesian models can solve real life reliability problems. It teaches engineers and scientists exactly what Bayesian analysis is, what its benefits are, and how they can apply the methods to solve their own problems. To help readers get started quickly, the book presents many Bayesian models that use JAGS and which require fewer than 10 lines of command. It also offers a number of short R scripts consisting of simple functions to help them become familiar with R coding.
Practical Applications of Bayesian Reliability starts by introducing basic concepts of reliability engineering, including random variables, discrete and continuous probability distributions, hazard function, and censored data. Basic concepts of Bayesian statistics, models, reasons, and theory are presented in the following chapter. Coverage of Bayesian computation, MetropolisHastings algorithm, and Gibbs Sampling comes next. The book then goes on to teach the concepts of design capability and design for reliability; introduce Bayesian models for estimating system reliability; discuss Bayesian Hierarchical Models and their applications; present linear and logistic regression models in Bayesian Perspective; and more.
* Provides a stepbystep approach for developing advanced reliability models to solve complex problems, and does not require indepth understanding of statistical methodology
* Educates managers on the potential of Bayesian reliability models and associated impact
* Introduces commonly used predictive reliability models and advanced Bayesian models based on real life applications
* Includes practical guidelines to construct Bayesian reliability models along with computer codes for all of the case studies
* JAGS and R codes are provided on an accompanying website to enable practitioners to easily copy them and tailor them to their own applications
Practical Applications of Bayesian Reliability is a helpful book for industry practitioners such as reliability engineers, mechanical engineers, electrical engineers, product engineers, system engineers, and materials scientists whose work includes predicting design or product performance. <font color=#0000dd>[320 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119287971">mehr...</a></td></tr></table><br><br>
15 Apr 2019 08:17:40 +0200
231555309060
Liu, Yan / Abeyratne, Athula
20190415T06:17:40Z

Structural Equation Modeling with lavaan
http://www.wileyvch.de/publish/dt/books/ISBN9781786303691
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786303691"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781786303691.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">This book presents an introduction to structural equation modeling (SEM) and facilitates the access of students and researchers in various scientific fields to this powerful statistical tool. It offers a didactic initiation to SEM as well as to the opensource software, lavaan, and the rich and comprehensive technical features it offers.
Structural Equation Modeling with lavaan thus helps the reader to gain autonomy in the use of SEM to test path models and dyadic models, perform confirmatory factor analyses and estimate more complex models such as general structural models with latent variables and latent growth models.
SEM is approached both from the point of view of its process (i.e. the different stages of its use) and from the point of view of its product (i.e. the results it generates and their reading). <font color=#0000dd>[294 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786303691">mehr...</a></td></tr></table><br><br>
8 Apr 2019 08:17:18 +0200
31554704238
Gana, Kamel / Broc, Guillaume
20190408T06:17:18Z

Statistical Process Control for the Food Industry
http://www.wileyvch.de/publish/dt/books/ISBN9781119151982
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119151982"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119151982.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">A comprehensive treatment for implementing Statistical Process Control (SPC) in the food industry
This book provides managers, engineers, and practitioners with an overview of necessary and relevant tools of Statistical Process Control, a roadmap for their implementation, the importance of engagement and teamwork, SPC leadership, success factors of the readiness and implementation, and some of the key lessons learned from a number of food companies. Illustrated with numerous examples from global realworld case studies, this book demonstrates the power of various SPC tools in a comprehensive manner. The final part of the book highlights the critical challenges encountered while implementing SPC in the food industry globally.
Statistical Process Control for the Food Industry: A Guide for Practitioners and Managers explores the opportunities to deliver customized SPC training programs for local food companies. It offers insightful chapter covering everything from the philosophy and fundamentals of quality control in the food industry all the way up to case studies of SPC application in the food industry on both the quality and safety aspect, making it an excellent "cookbook" for the managers in the food industry to assess and initiating the SPC application in their respective companies.
* Covers concise and clear guidelines for the application of SPC tools in any food companies' environment
* Provides appropriate guidelines showing the organizational readiness level before the food companies adopt SPC
* Explicitly comments on success factors, motivations, and challenges in the food industry
* Addresses quality and safety issues in the food industry
* Presents numerous, global, realworld case studies of SPC in the food industry
Statistical Process Control for the Food Industry: A Guide for Practitioners and Managers can be used to train upper middle and senior managers in improving food quality and reducing food waste using SPC as one of the core techniques. It's also an excellent book for graduate students of food engineering, food quality management and/or food technology, and process management. <font color=#0000dd>[200 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119151982">mehr...</a></td></tr></table><br><br>
1 Apr 2019 08:17:46 +0200
251554099466
Lim, Sarina A. / Antony, Jiju
20190401T06:17:46Z

Statistik für Wirtschafts und Sozialwissenschaftler für Dummies
http://www.wileyvch.de/publish/dt/books/ISBN9783527715619
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9783527715619"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9783527715619.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Kein Studierender der Wirtschafts und Sozialwissenschaften kommt um Statistik herum. Dieses Buch bringt die beschreibende und schließende Statistik auf den Punkt und erklärt Begriffe, Formeln und Diagramme anschaulich und Schritt für Schritt. <font color=#0000dd>[292 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9783527715619">mehr...</a></td></tr></table><br><br>
28 Mar 2019 08:17:30 +0100
81553757450
Krickhahn, Thomas
20190328T07:17:30Z

Theory of Ridge Regression Estimation with Applications
http://www.wileyvch.de/publish/dt/books/ISBN9781118644614
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781118644614"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781118644614.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">A guide to the systematic analytical results for ridge, LASSO, preliminary test, and Steintype estimators with applications
Theory of Ridge Regression Estimation with Applications offers a comprehensive guide to the theory and methods of estimation. Ridge regression and LASSO are at the center of all penalty estimators in a range of standard models that are used in many applied statistical analyses. Written by noted experts in the field, the book contains a thorough introduction to penalty and shrinkage estimation and explores the role that ridge, LASSO, and logistic regression play in the computer intensive area of neural network and big data analysis.
Designed to be accessible, the book presents detailed coverage of the basic terminology related to various models such as the location and simple linear models, normal and rank theorybased ridge, LASSO, preliminary test and Steintype estimators.The authors also include problem sets to enhance learning. This book is a volume in the Wiley Series in Probability and Statistics series that provides essential and invaluable reading for all statisticians. This important resource:
* Offers theoretical coverage and computerintensive applications of the procedures presented
* Contains solutions and alternate methods for prediction accuracy and selecting model procedures
* Presents the first book to focus on ridge regression and unifies past research with current methodology
* Uses R throughout the text and includes a companion website containing convenient data sets
Written for graduate students, practitioners, and researchers in various fields of science, Theory of Ridge Regression Estimation with Applications is an authoritative guide to the theory and methodology of statistical estimation. <font color=#0000dd>[384 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781118644614">mehr...</a></td></tr></table><br><br>
27 Mar 2019 08:17:35 +0100
151553671055
Saleh, A. K. Md. Ehsanes / Arashi, Mohammad / Kibria, B. M. Golam
20190327T07:17:35Z

Data Monitoring Committees in Clinical Trials
http://www.wileyvch.de/publish/dt/books/ISBN9781119512653
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119512653"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119512653.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Data Monitoring in Clinical Trial: A Practical Perspective ist die erweiterte 2. Auflage des weit verbreiteten und viel beachteten Fachbuchs, das erstmals im Jahr 2002 erschienen ist. Es bietet einen fundierten und aktuellen Überblick über Datenkontrollkomitees, deren Einrichtung, Zweck und Zuständigkeiten.
 Enthält direkt umsetzbare Handreichungen für alle, die klinische Studien verwalten und durchführen, sowie für Mitglieder von Datenkontrollkomitees.
 Liefert Mitgliedern von Behörden und Ethikkommissionen Einblicke in die Kontrolle klinischer Daten.
 Diskutiert Themen mit Relevanz für diejenigen, die in den USA und in Europa an klinischen Studien arbeiten.
Die praktischen Handlungsansätze in diesem Buch sind für Experten aus dem akademischen Bereich, bei Regierungsstellen und aus der Industrie, vor allem für Medizinstatistiker, Kliniker, Koordinatoren von klinischen Studien von Nutzen, ob sie Studien durchführen und/oder begleiten. Ebenso relevant ist dieses Praktikerbuch für Mitarbeiter bei Regulierungsstellen und im Bereich der Bioethik.
<font color=#0000dd>[496 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119512653">mehr...</a></td></tr></table><br><br>
26 Mar 2019 08:17:31 +0100
91553584651
Ellenberg, Susan S. / Fleming, Thomas R. / DeMets, David L.
20190326T07:17:31Z

Multivariate Time Series Analysis and Applications
http://www.wileyvch.de/publish/dt/books/ISBN9781119502852
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119502852"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119502852.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">An essential guide on high dimensional multivariate time series including all the latest topics from one of the leading experts in the field
Following the highly successful and much lauded book, Time Series AnalysisUnivariate and Multivariate Methods, this new work by William W.S. Wei focuses on high dimensional multivariate time series, and is illustrated with numerous high dimensional empirical time series. Beginning with the fundamentalconcepts and issues of multivariate time series analysis,this book covers many topics that are not found in general multivariate time series books. Some of these are repeated measurements, spacetime series modelling, and dimension reduction. The book also looks at vector time series models, multivariate time series regression models, and principle component analysis of multivariate time series. Additionally, it provides readers with information on factor analysis of multivariate time series, multivariate GARCH models, and multivariate spectral analysis of time series.
With the development of computers and the internet, we have increased potential for data exploration. In the next few years, dimension will become a more serious problem. Multivariate Time Series Analysis and its Applications provides some initial solutions, which may encourage the development of related software needed for the high dimensional multivariate time series analysis.
* Written by bestselling author and leading expert in the field
* Covers topics not yet explored in current multivariate books
* Features classroom tested material
* Written specifically for time series courses
Multivariate Time Series Analysis and its Applications is designed for an advanced time series analysis course. It is a musthave for anyone studying time series analysis and is also relevant for students in economics, biostatistics, and engineering. <font color=#0000dd>[680 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119502852">mehr...</a></td></tr></table><br><br>
18 Mar 2019 08:18:10 +0100
391552893490
Wei, William W. S.
20190318T07:18:10Z

Advanced Time Series Data Analysis
http://www.wileyvch.de/publish/dt/books/ISBN9781119504719
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119504719"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119504719.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Introduces the latest developments in forecasting in advanced quantitative data analysis
This book presents advanced univariate multiple regressions, which can directly be used to forecast their dependent variables, evaluate their insample forecast values, and compute forecast values beyond the sample period. Various alternative multiple regressions models are presented based on a single time series, bivariate, and triple timeseries, which are developed by taking into account specific growth patterns of each dependent variables, starting with the simplest model up to the most advanced model. Graphs of the observed scores and the forecast evaluation of each of the models are offered to show the worst and the best forecast models among each set of the models of a specific independent variable.
Advanced Time Series Data Analysis: Forecasting Using EViews provides readers with a number of modern, advanced forecast models not featured in any other book. They include various interaction models, models with alternative trends (including the models with heterogeneous trends), and complete heterogeneous models for monthly time series, quarterly time series, and annually time series. Each of the models can be applied by all quantitative researchers.
* Presents models that are all classroom tested
* Contains reallife data samples
* Contains over 350 equation specifications of various time series models
* Contains over 200 illustrative examples with special notes and comments
* Applicable for time series data of all quantitative studies
Advanced Time Series Data Analysis: Forecasting Using EViews will appeal to researchers and practitioners in forecasting models, as well as those studying quantitative data analysis. It is suitable for those wishing to obtain a better knowledge and understanding on forecasting, specifically the uncertainty of forecast values. <font color=#0000dd>[544 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119504719">mehr...</a></td></tr></table><br><br>
18 Mar 2019 08:18:09 +0100
381552893489
Agung
20190318T07:18:09Z

Matrix Differential Calculus with Applications in Statistics and Econometrics
http://www.wileyvch.de/publish/dt/books/ISBN9781119541202
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119541202"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119541202.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">A brand new, fully updated edition of a popular classic on matrix differential calculus with applications in statistics and econometrics
This exhaustive, selfcontained book on matrix theory and matrix differential calculus provides a treatment of matrix calculus based on differentials and shows how easy it is to use this theory once you have mastered the technique. Jan Magnus, who, along with the late Heinz Neudecker, pioneered the theory, develops it further in this new edition and provides many examples along the way to support it.
Matrix calculus has become an essential tool for quantitative methods in a large number of applications, ranging from social and behavioral sciences to econometrics. It is still relevant and used today in a wide range of subjects such as the biosciences and psychology. Matrix Differential Calculus with Applications in Statistics and Econometrics, Third Edition contains all of the essentials of multivariable calculus with an emphasis on the use of differentials. It starts by presenting a concise, yet thorough overview of matrix algebra, then goes on to develop the theory of differentials. The rest of the text combines the theory and application of matrix differential calculus, providing the practitioner and researcher with both a quick review and a detailed reference.
* Fulfills the need for an updated and unified treatment of matrix differential calculus
* Contains many new examples and exercises based on questions asked of the author over the years
* Covers new developments in field and features new applications
* Written by a leading expert and pioneer of the theory
* Part of the Wiley Series in Probability and Statistics
Matrix Differential Calculus With Applications in Statistics and Econometrics Third Edition is an ideal text for graduate students and academics studying the subject, as well as for postgraduates and specialists working in biosciences and psychology. <font color=#0000dd>[504 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119541202">mehr...</a></td></tr></table><br><br>
18 Mar 2019 08:18:08 +0100
371552893488
Magnus, Jan R.
20190318T07:18:08Z

Forecasting With The Theta Method
http://www.wileyvch.de/publish/dt/books/ISBN9781119320760
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119320760"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119320760.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">The first book to be published on the Theta method, outlining under what conditions the method outperforms other forecasting methods
This book is the first to detail the Theta method of forecasting  one of the most difficulttobeat forecasting benchmarks, which topped the biggest forecasting competition in the world in 2000: the M3 competition. Written by two of the leading experts in the forecasting field, it illuminates the exact replication of the method and under what conditions the method outperforms other forecasting methods. Recent developments such as multivariate models are also included, as are a series of practical applications in finance, economics, and healthcare. The book also offers practical tools in MS Excel and guidance, as well as provisional access, for the use of R source code and respective packages.
Forecasting with the Theta Method: Theory and Applications includes three main parts. The first part, titled Theory, Methods, Models & Applications details the new theory about the method. The second part, Applications & Performance in Forecasting Competitions, describes empirical results and simulations on the method. The last part roadmaps future research and also include contributions from another leading scholar of the method  Dr. Fotios Petropoulos.
* First ever book to be published on the Theta Method
* Explores new theory and exact conditions under which methods would outperform most forecasting benchmarks
* Clearly written with practical applications
* Employs R  open source code with all included implementations
Forecasting with the Theta Method: Theory and Applications is a valuable tool for both academics and practitioners involved in forecasting and respective software development. <font color=#0000dd>[200 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119320760">mehr...</a></td></tr></table><br><br>
18 Mar 2019 08:17:16 +0100
11552893437
Nikolopoulos, Konstantinos (Kostas) / Thomakos, Dimitrios D.
20190318T07:17:16Z

The Road to Quality Control
http://www.wileyvch.de/publish/dt/books/ISBN9781119514930
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119514930"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119514930.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Professor Woodall's essay shows that this book represents a remarkable contribution, even by today's standards, because of its contemporary thinking about the relationship between the specific topic of SQC and the broader company context of Quality Management. It also demonstrates the remarkable awareness of at least some young US engineers in the postwar period about the vital role of Statistical Quality Control in establishing and maintaining a competitive position. The book reveals that there was unsuspected knowledge extant immediately postwar, about the importance of Statistical Quality Control when appropriately applied in an industrial setting. It also helps to correct widespread historical misconceptions about who specifically was responsible for helping Japanese industry get back on its feet postwar, a task assigned to General Douglas Macarthur by President Truman and how Macarthur was indebted to Sarasohn. <font color=#0000dd>[160 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119514930">mehr...</a></td></tr></table><br><br>
4 Mar 2019 08:18:00 +0100
351551683880
Fisher, Nicholas / Tanaka, Yutaka / Woodall, William
20190304T07:18:00Z

Data Analysis and Applications 2
http://www.wileyvch.de/publish/dt/books/ISBN9781786304476
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786304476"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781786304476.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top"> <font color=#0000dd>[252 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786304476">mehr...</a></td></tr></table><br><br>
1 Mar 2019 08:18:10 +0100
251551424690
Skiadas, Christos / Bozeman, James R.
20190301T07:18:10Z

Data Analysis and Applications 1
http://www.wileyvch.de/publish/dt/books/ISBN9781786303820
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786303820"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781786303820.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top"> <font color=#0000dd>[286 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786303820">mehr...</a></td></tr></table><br><br>
1 Mar 2019 08:18:09 +0100
241551424689
Skiadas, Christos / Bozeman, James R. (eds.)
20190301T07:18:09Z

Statistik II für Dummies
http://www.wileyvch.de/publish/dt/books/ISBN9783527715558
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9783527715558"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9783527715558.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Dieses Buch führt Sie so leicht verständlich wie möglich in Regressions und Varianzanalysen, den ChiQuadratTest und vieles mehr ein. <font color=#0000dd>[384 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9783527715558">mehr...</a></td></tr></table><br><br>
14 Feb 2019 08:18:03 +0100
221550128684
Rumsey, Deborah J.
20190214T07:18:03Z

Time Series Analysis with Long Memory in View
http://www.wileyvch.de/publish/dt/books/ISBN9781119470403
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119470403"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119470403.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Provides a simple exposition of the basic time series material, and insights into underlying technical aspects and methods of proof
Long memory time series are characterized by a strong dependence between distant events. This book introduces readers to the theory and foundations of univariate time series analysis with a focus on long memory and fractional integration, which are embedded into the general framework. It presents the general theory of time series, including some issues that are not treated in other books on time series, such as ergodicity, persistence versus memory, asymptotic properties of the periodogram, and Whittle estimation. Further chapters address the general functional central limit theory, parametric and semiparametric estimation of the long memory parameter, and locally optimal tests.
Intuitive and easy to read, Time Series Analysis with Long Memory in View offers chapters that cover: Stationary Processes; Moving Averages and Linear Processes; Frequency Domain Analysis; Differencing and Integration; Fractionally Integrated Processes; Sample Means; Parametric Estimators; Semiparametric Estimators; and Testing. It also discusses further topics. This book:
* Offers beginningofchapter examples as well as endofchapter technical arguments and proofs
* Contains many new results on long memory processes which have not appeared in previous and existing textbooks
* Takes a basic mathematics (Calculus) approach to the topic of time series analysis with long memory
* Contains 25 illustrative figures as well as lists of notations and acronyms
Time Series Analysis with Long Memory in View is an ideal text for first year PhD students, researchers, and practitioners in statistics, econometrics, and any application area that uses time series over a long period. It would also benefit researchers, undergraduates, and practitioners in those areas who require a rigorous introduction to time series analysis. <font color=#0000dd>[288 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119470403">mehr...</a></td></tr></table><br><br>
4 Feb 2019 08:17:59 +0100
281549264679
Hassler, Uwe
20190204T07:17:59Z

Student Solutions Manual to Accompany Loss Models
http://www.wileyvch.de/publish/dt/books/ISBN9781119538059
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119538059"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119538059.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Loss Models: From Data to Decisions, Fifth Edition continues to supply actuaries with a practical approach to the key concepts and techniques needed on the job. With updated material and extensive examples, the book successfully provides the essential methods for using available data to construct models for the frequency and severity of future adverse outcomes.
The book continues to equip readers with the tools needed for the construction and analysis of mathematical models that describe the process by which funds flow into and out of an insurance system. Focusing on the loss process, the authors explore key quantitative techniques including random variables, basic distributional quantities, and the recursive method, and discuss techniques for classifying and creating distributions. Parametric, nonparametric, and Bayesian estimation methods are thoroughly covered along with advice for choosing an appropriate model. Throughout the book, numerous examples showcase the realworld applications of the presented concepts, with an emphasis on calculations and spreadsheet implementation.
Loss Models: From Data to Decisions, Fifth Edition is an indispensable resource for students and aspiring actuaries who are preparing to take the SOA and CAS examinations. The book is also a valuable reference for professional actuaries, actuarial students, and anyone who works with loss and risk models. <font color=#0000dd>[240 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119538059">mehr...</a></td></tr></table><br><br>
4 Feb 2019 08:17:58 +0100
271549264678
Klugman, Stuart A. / Panjer, Harry H. / Willmot, Gordon E.
20190204T07:17:58Z

An Introduction to Categorical Data Analysis
http://www.wileyvch.de/publish/dt/books/ISBN9781119405269
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119405269"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119405269.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">A valuable new edition of a standard reference
The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data.
Adding to the value in the new edition is:
* Illustrations of the use of R software to perform all the analyses in the book
* A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis
* New sections in many chapters introducing the Bayesian approach for the methods of that chapter
* More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets
* An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most oddnumbered exercises
Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more.
An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences. <font color=#0000dd>[400 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119405269">mehr...</a></td></tr></table><br><br>
23 Jan 2019 08:17:37 +0100
21548227857
Agresti, Alan
20190123T07:17:37Z

Statistical Applications for the Behavioral and Social Sciences
http://www.wileyvch.de/publish/dt/books/ISBN9781119355397
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119355397"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119355397.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">An updated edition of a classic text on applying statistical analyses to the social sciences, with reviews, new chapters, an expanded set of posthoc analyses, and information on computing in Excel and SPSS
Now in its second edition,Statistical Applications for the Behavioral and Social Sciences has been revised and updated and continues to offer an essential guide to the conceptual foundations of statistical analyses (particularly inferential statistics), placing an emphasis on connecting statistical tools with appropriate research contexts. Designed to be accessible, the text contains an applicationsoriented, stepbystep presentation of the statistical theories and formulas most often used by the social sciences. The revised text also includes an entire chapter on the basic concepts in research, presenting an overall context for all the book's statistical theories and formulas.
The authors cover descriptive statistics and z scores, the theoretical underpinnings of inferential statistics, z and t tests, power analysis, one/twoway and repeatedmeasures ANOVA, linear correlation and regression, as well as chisquare and other nonparametric tests. The second edition also includes a new chapter on basic probability theory.
This important resource:
* Contains information regarding the use of statistical software packages; both Excel and SPSS
* Offers four strategically positioned and accumulating reviews, each containing a set of researchoriented diagnostic questions designed to help students determine which tests are applicable to which research scenarios
* Incorporates additional statistical information on followup analyses such as posthoc tests and effect sizes
* Includes a series of sidebar discussions dispersed throughout the text that address, among other topics, the recent and growing controversy regarding the failed reproducibility of published findings in the social sciences
* Puts renewed emphasis on presentation of data and findings using the APA format
* Includes supplementary material consisting of a set of "kickstart" quizzes designed to get students quickly back up to speed at the start of an instructional period, and a complete set of readytouse PowerPoint slides for inclass use
Written for students in areas such as psychology, sociology, criminology, political science, public health, and others, Statistical Applications for the Behavioral and Social Sciences, Second Edition continues to provide the information needed to understand the foundations of statistical analyses as relevant to the behavioral and social sciences. <font color=#0000dd>[960 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119355397">mehr...</a></td></tr></table><br><br>
21 Jan 2019 08:17:56 +0100
261548055076
Nesselroade, K. Paul / Grimm, Laurence G.
20190121T07:17:56Z

Stochastik kompakt für Dummies
http://www.wileyvch.de/publish/dt/books/ISBN9783527715749
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9783527715749"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9783527715749.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Dieses Buch führt Sie so verständlich und übersichtlich wie möglich in Wahrscheinlichkeitsrechnung und in beschreibende und beurteilende Statistik ein. Die notwendigen Rechenverfahren werden Schritt für Schritt erklärt. <font color=#0000dd>[269 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9783527715749">mehr...</a></td></tr></table><br><br>
17 Jan 2019 08:17:55 +0100
101547709475
Maas, Christoph
20190117T07:17:55Z

Earthquake Statistical Analysis through Multistate Modeling
http://www.wileyvch.de/publish/dt/books/ISBN9781786301505
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786301505"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781786301505.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Earthquake occurrence modeling is a rapidly developing research area. This book deals with its critical issues, ranging from theoretical advances to practical applications.
The introductory chapter outlines stateoftheart earthquake modeling approaches based on stochastic models. Chapter 2 presents seismogenesis in association with the evolving stress field. Chapters 3 to 5 present earthquake occurrence modeling by means of hidden (semi)Markov models and discuss associated characteristic measures and relative estimation aspects. Further comparisons, the most important results and our concluding remarks are provided in Chapters 6 and 7 <font color=#0000dd>[180 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786301505">mehr...</a></td></tr></table><br><br>
14 Jan 2019 08:17:54 +0100
231547450274
Votsi, Irene / Limnios, Nikolaos / Papadimitriou, Eleftheria / Tsaklidis, Georgios
20190114T07:17:54Z

Robust Statistics
http://www.wileyvch.de/publish/dt/books/ISBN9781119214687
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119214687"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119214687.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodology using the increasingly popular opensource software R.
Classical statistics fail to cope well with outliers associated with deviations from standard distributions. Robust statistical methods take into account these deviations when estimating the parameters of parametric models, thus increasing the reliability of fitted models and associated inference. This new, second edition of Robust Statistics: Theory and Methods (with R) presents a broad coverage of the theory of robust statistics that is integrated with computing methods and applications. Updated to include important new research results of the last decade and focus on the use of the popular software package R, it features indepth coverage of the key methodology, including regression, multivariate analysis, and time series modeling. The book is illustrated throughout by a range of examples and applications that are supported by a companion website featuring data sets and R code that allow the reader to reproduce the examples given in the book.
Unlike other books on the market, Robust Statistics: Theory and Methods (with R) offers the most comprehensive, definitive, and uptodate treatment of the subject. It features chapters on estimating location and scale; measuring robustness; linear regression with fixed and with random predictors; multivariate analysis; generalized linear models; time series; numerical algorithms; and asymptotic theory of Mestimates.
* Explains both the use and theoretical justification of robust methods
* Guides readers in selecting and using the most appropriate robust methods for their problems
* Features computational algorithms for the core methods
Robust statistics research results of the last decade included in this 2nd edition include: fast deterministic robust regression, finitesample robustness, robust regularized regression, robust location and scatter estimation with missing data, robust estimation with independent outliers in variables, and robust mixed linear models.
Robust Statistics aims to stimulate the use of robust methods as a powerful tool to increase the reliability and accuracy of statistical modelling and data analysis. It is an ideal resource for researchers, practitioners, and graduate students in statistics, engineering, computer science, and physical and social sciences. <font color=#0000dd>[464 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119214687">mehr...</a></td></tr></table><br><br>
27 Dec 2018 08:17:55 +0100
271545895075
Maronna, Ricardo / Martin, R. Douglas / Yohai, Victor / SalibianBarrera, Matias
20181227T07:17:55Z

Understanding Least Squares Estimation and Geomatics Data Analysis
http://www.wileyvch.de/publish/dt/books/ISBN9781119501398
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119501398"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119501398.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Provides a modern approach to least squares estimation and data analysis for undergraduate land surveying and geomatics programs
Rich in theory and concepts, this comprehensive book on least square estimation and data analysis provides examples that are designed to help students extend their knowledge to solving more practical problems. The sample problems are accompanied by suggested solutions, and are challenging, yet easy enough to manually work through using simple computing devices, and chapter objectives provide an overview of the material contained in each section.
Understanding Least Squares Estimation and Geomatics Data Analysis begins with an explanation of survey observables, observations, and their stochastic properties. It reviews matrix structure and construction and explains the needs for adjustment. Next, it discusses analysis and error propagation of survey observations, including the application of heuristic rule for covariance propagation. Then, the important elements of statistical distributions commonly used in geomatics are discussed. Main topics of the book include: concepts of datum definitions; the formulation and linearization of parametric, conditional and general model equations involving typical geomatics observables; geomatics problems; least squares adjustments of parametric, conditional and general models; confidence region estimation; problems of network design and preanalysis; threedimensional geodetic network adjustment; nuisance parameter elimination and the sequential least squares adjustment; postadjustment data analysis and reliability; the problems of datum; mathematical filtering and prediction; an introduction to least squares collocation and the kriging methods; and more.
* Contains ample concepts/theory and content, as well as practical and workable examples
* Based on the author's manual, which he developed as a complete and comprehensive book for his Adjustment of Surveying Measurements and Special Topics in Adjustments courses
* Provides geomatics undergraduates and geomatics professionals with required foundational knowledge
* An excellent companion to Precision Surveying: The Principles and Geomatics Practice
Understanding Least Squares Estimation and Geomatics Data Analysis is recommended for undergraduates studying geomatics, and will benefit many readers from a variety of geomatics backgrounds, including practicing surveyors/engineers who are interested in least squares estimation and data analysis, geomatics researchers, and software developers for geomatics. <font color=#0000dd>[720 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119501398">mehr...</a></td></tr></table><br><br>
19 Dec 2018 08:18:00 +0100
261545203880
Ogundare, John Olusegun
20181219T07:18:00Z

Handbook of Healthcare Analytics
http://www.wileyvch.de/publish/dt/books/ISBN9781119300946
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119300946"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119300946.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">How can analytics scholars and healthcare professionals access the most exciting and important healthcare topics and tools for the 21st century?
Editors Tinglong Dai and Sridhar Tayur, aided by a team of internationally acclaimed experts, have curated this timely volume to help newcomers and seasoned researchers alike to rapidly comprehend a diverse set of thrusts and tools in this rapidly growing crossdisciplinary field. The Handbook covers a wide range of macro, meso and microlevel thrustssuch as market design, competing interests, global health, personalized medicine, residential care and concierge medicine, among othersand structures what has been a highly fragmented research area into a coherent scientific discipline.
The handbook also provides an easytocomprehend introduction to five essential research toolsMarkov decision process, game theory and information economics, queueing games, econometric methods, and data scienceby illustrating their uses and applicability on examples from diverse healthcare settings, thus connecting tools with thrusts.
The primary audience of the Handbook includes analytics scholars interested in healthcare and healthcare practitioners interested in analytics. This Handbook:
* Instills analytics scholars with a way of thinking that incorporates behavioral, incentive, and policy considerations in various healthcare settings. This change in perspectivea shift in gaze away from narrow, local and oneoff operational improvement efforts that do not replicate, scale or remain sustainablecan lead to new knowledge and innovative solutions that healthcare has been seeking so desperately.
* Facilitates collaboration between healthcare experts and analytics scholar to frame and tackle their pressing concerns through appropriate modern mathematical tools designed for this very purpose.
The handbook is designed to be accessible to the independent reader, and it may be used in a variety of settings, from a short lecture series on specific topics to a semesterlong course. <font color=#0000dd>[464 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119300946">mehr...</a></td></tr></table><br><br>
19 Dec 2018 08:17:31 +0100
111545203851
Dai, Tinglong / Tayur, Sridhar (eds.)
20181219T07:17:31Z

Advances in Comparative Survey Methods
http://www.wileyvch.de/publish/dt/books/ISBN9781118884980
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781118884980"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781118884980.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Covers the latest methodologies and research on international comparative surveys with contributions from noted experts in the field
Advances in Comparative Survey Methodology examines the most recent advances in methodology and operations as well as the technical developments in international survey research. With contributions from a panel of international experts, the text includes information on the use of Big Data in concert with survey data, collecting biomarkers, the human subject regulatory environment, innovations in data collection methodology and sampling techniques, use of paradata across the survey lifecycle, metadata standards for dissemination, and new analytical techniques.
This important resource:
* Contains contributions from key experts in their respective fields of study from around the globe
* Highlights innovative approaches in resource poor settings, and innovative approaches to combining survey and other data
* Includes material that is organized within the total survey error framework
* Presents extensive and uptodate references throughout the book
Written for students and academic survey researchers and market researchers engaged in comparative projects, this text represents a unique collaboration that features the latest methodologies and research on global comparative surveys. <font color=#0000dd>[1136 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781118884980">mehr...</a></td></tr></table><br><br>
17 Dec 2018 08:17:59 +0100
331545031079
Johnson, Timothy P. / Pennell, BethEllen / Stoop, Ineke A. L. / Dorer, Brita (eds.)
20181217T07:17:59Z