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Copyright © 20002016 by WileyVCH Weinheim or related companies. All rights reserved.
21 Nov 2019 08:18:14 +0100
20191121T07:18:14Z
Copyright © 20002016 by WileyVCH Weinheim or related companies. All rights reserved.
pfischer@wileyvch.de
pfischer@wileyvch.de
New Books: Statistik
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Experimental Methods in Survey Research
http://www.wileyvch.de/publish/dt/books/ISBN9781119083740
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119083740"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119083740.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 thorough and comprehensive guide to the theoretical, practical, and methodological approaches used in survey experiments across disciplines such as political science, health sciences, sociology, economics, psychology, and marketing
This book explores and explains the broad range of experimental designs embedded in surveys that use both probability and nonprobability samples. It approaches the usage of surveybased experiments with a Total Survey Error (TSE) perspective, which provides insight on the strengths and weaknesses of the techniques used.
Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment addresses experiments on withinunit coverage, reducing nonresponse, question and questionnaire design, minimizing interview measurement bias, using adaptive design, trend data, vignettes, the analysis of data from survey experiments, and other topics, across social, behavioral, and marketing science domains.
Each chapter begins with a description of the experimental method or application and its importance, followed by reference to relevant literature. At least one detailed original experimental case study then follows to illustrate the experimental method's deployment, implementation, and analysis from a TSE perspective. The chapters conclude with theoretical and practical implications on the usage of the experimental method addressed. In summary, this book:
* Fills a gap in the current literature by successfully combining the subjects of survey methodology and experimental methodology in an effort to maximize both internal validity and external validity
* Offers a wide range of types of experimentation in survey research with indepth attention to their various methodologies and applications
* Is edited by internationally recognized experts in the field of survey research/methodology and in the usage of surveybased experimentation featuring contributions from across a variety of disciplines in the social and behavioral sciences
* Presents advances in the field of survey experiments, as well as relevant references in each chapter for further study
* Includes more than 20 types of original experiments carried out within probability sample surveys
* Addresses myriad practical and operational aspects for designing, implementing, and analyzing surveybased experiments by using a Total Survey Error perspective to address the strengths and weaknesses of each experimental technique and method
Experimental Methods in Survey Research: Techniques that Combine Random Sampling with Random Assignment is an ideal reference for survey researchers and practitioners in areas such political science, health sciences, sociology, economics, psychology, public policy, data collection, data science, and marketing. It is also a very useful textbook for graduatelevel courses on survey experiments and survey methodology.
Paul J. Lavrakas, PhD, is Senior Fellow at the NORC at the University of Chicago, Adjunct Professor at University of IllinoisChicago, Senior Methodologist at the Social Research Centre of Australian National University and at the Office for Survey Research at Michigan State University.
Michael W. Traugott, PhD, is Research Professor in the Institute for Social Research at the University of Michigan.
Courtney Kennedy, PhD, is Director of Survey Research at Pew Research Center in Washington, DC.
Allyson L. Holbrook, PhD, is Professor of Public Administration and Psychology at the University of IllinoisChicago.
Edith D. de Leeuw, PhD, is Professor of Survey Methodology in the Department of Methodology and Statistics at Utrecht University.
Brady T. West, PhD, is Research Associate Professor in the Survey Research Center at the University of MichiganAnn Arbor. <font color=#0000dd>[544 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119083740">mehr...</a></td></tr></table><br><br>
18 Nov 2019 08:17:55 +0100
271574061475
Lavrakas, Paul J. / Traugott, Michael W. / Kennedy, Courtney / Holbrook, Allyson L. / de Leeuw, Edith D. / West, Brady T. (eds.)
20191118T07:17:55Z

Argument Mining
http://www.wileyvch.de/publish/dt/books/ISBN9781786303035
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786303035"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781786303035.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 an introduction to the linguistic concepts of argumentation relevant for argument mining, an important research and development activity which can be viewed as a highly complex form of information retrieval, requiring highlevel natural language processing technology.While the first four chapters develop the linguistic and conceptual aspects of argument expression, the last four are devoted to their application to argument mining. These chapters investigate the facets of argument annotation, as well as argument mining system architectures and evaluation. How annotations may be used to develop linguistic data and how to train learning algorithms is outlined. A simple implementation is then proposed. The book ends with an analysis of nonverbal argumentative discourse.Argument Mining is an introductory book for engineers or students of linguistics, artificial intelligence and natural language processing. Most, if not all, the concepts of argumentation crucial for argument mining are carefully introduced and illustrated in a simple manner. <font color=#0000dd>[202 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786303035">mehr...</a></td></tr></table><br><br>
6 Nov 2019 08:17:40 +0100
91573024660
Janier, Mathilde / SaintDizier, Patrick
20191106T07:17:40Z

Clustering Methodology for Symbolic Data
http://www.wileyvch.de/publish/dt/books/ISBN9780470713938
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9780470713938"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9780470713938.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 focuses on classification methodology for interval and histogram valued data. Providing new methodologies reaching across many fields in data science, it considers classification models such as dynamical clustering, an extension of Kmeans, hierarchical pyramidal, and Kohonen methodology. The text also demonstrates managing a large complex datasets into smaller datasets for analysis, looking at very large contemporary datasets such as time series, intervalvalued data, and histogramvalued data. The coverage provided will enable all those doing symbolic data analysis to get more accurate information and summarize extensive datasets. <font color=#0000dd>[352 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9780470713938">mehr...</a></td></tr></table><br><br>
28 Oct 2019 08:17:56 +0100
361572247076
Billard, Lynne / Diday, Edwin
20191028T07:17:56Z

Applied Statistics
http://www.wileyvch.de/publish/dt/books/ISBN9781119551522
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119551522"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119551522.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">Instructs readers on how to use methods of statistics and experimental design with R software
Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds from a strong theoretical background, but it is practically oriented to develop one's ability to tackle new and nonstandard problems confidently. Taking a practical approach to applied statistics, this userfriendly guide teaches readers how to use methods of statistics and experimental design without going deep into the theory.
Applied Statistics: Theory and Problem Solutions with R includes chapters that cover R package sampling procedures, analysis of variance, point estimation, and more. It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical backgroundtaking the lessons learned from there to another level with this book's addition of instructions on how to employ the methods using R. But there are two important chapters not mentioned in the theoretical back ground as Generalised Linear Models and Spatial Statistics.
* Offers a practical over theoretical approach to the subject of applied statistics
* Provides a preexperimental as well as postexperimental approach to applied statistics
* Features classroom tested material
* Applicable to a wide range of people working in experimental design and all empirical sciences
* Includes 300 different procedures with R and examples with Rprograms for the analysis and for determining minimal experimental sizes
Applied Statistics: Theory and Problem Solutions with R will appeal to experimenters, statisticians, mathematicians, and all scientists using statistical procedures in the natural sciences, medicine, and psychology amongst others. <font color=#0000dd>[472 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119551522">mehr...</a></td></tr></table><br><br>
14 Oct 2019 08:17:49 +0200
311571033869
Rasch, Dieter / Verdooren, Rob / Pilz, Jürgen
20191014T06:17:49Z

SAS for R Users
http://www.wileyvch.de/publish/dt/books/ISBN9781119256410
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119256410"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119256410.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">Bridges the gap between SAS and R, allowing users trained in one language easily learn the other.
SAS and R are widelyused, very different software environments. Prized for its statistical and graphical tools, R is an opensource programming language that is popular with statisticians and data miners who develop statistical software and analyze data. SAS (Statistical Analysis System) is the leading corporate software in analytics thanks to its faster data handling and smaller learning curve. SAS for R Users enables entrylevel data scientists to take advantage of the best aspects of both tools by providing a crossfunctional framework for users who already know R but may need to work with SAS.
Those with knowledge of both R and SAS are of far greater value to employers, particularly in corporate settings. Using a clear, stepbystep approach, this book presents an analytics workflow that mirrors that of the everyday data scientist. This uptodate guide is compatible with the latest R packages as well as SAS University Edition. Useful for anyone seeking employment in data science, this book:
* Instructs both practitioners and students fluent in one language seeking to learn the other
* Provides commandbycommand translations of R to SAS and SAS to R
* Offers examples and applications in Both R and SAS
* Presents stepbystep guidance on workflows, color illustrations, sample code, chapter quizzes, and more
* Includes sections on advanced methods and applications
Designed for professionals, researchers, and students, SAS for R Users is a valuable resource for those with some knowledge of coding and basic statistics who wish to enter the realm of data science and business analytics. <font color=#0000dd>[208 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119256410">mehr...</a></td></tr></table><br><br>
9 Oct 2019 08:17:41 +0200
221570601861
Ohri, Ajay
20191009T06:17:41Z

Medical Statistics at a Glance
http://www.wileyvch.de/publish/dt/books/ISBN9781119167815
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119167815"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119167815.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">Now in its fourth edition, Medical Statistics at a Glance is a concise and accessible introduction to this complex subject. It provides clear instruction on how to apply commonly used statistical procedures in an easytoread, comprehensive and relevant volume. This new edition continues to be the ideal introductory manual and reference guide to medical statistics, an invaluable companion for statistics lectures and a very useful revision aid.
This new edition of Medical Statistics at a Glance:
* Offers guidance on the practical application of statistical methods in conducting research and presenting results
* Explains the underlying concepts of medical statistics and presents the key facts without being unduly mathematical
* Contains succinct selfcontained chapters, each with one or more examples, many of them new, to illustrate the use of the methodology described in the chapter.
* Now provides templates for critical appraisal, checklists for the reporting of randomized controlled trials and observational studies and references to the EQUATOR guidelines for the presentation of study results for many other types of study
* Includes extensive crossreferencing, flowcharts to aid the choice of appropriate tests, learning objectives for each chapter, a glossary of terms and a glossary of annotated full computer output relevant to the examples in the text
* Provides crossreferencing to the multiple choice and structured questions in the companion Medical Statistics at a Glance Workbook
Medical Statistics at a Glance is a musthave text for undergraduate and postgraduate medical students, medical researchers and biomedical and pharmaceutical professionals. <font color=#0000dd>[208 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119167815">mehr...</a></td></tr></table><br><br>
7 Oct 2019 08:17:37 +0200
201570429057
Petrie, Aviva / Sabin, Caroline
20191007T06:17:37Z

Estimation of Stochastic Processes with Stationary Increments and Cointegrated Sequences
http://www.wileyvch.de/publish/dt/books/ISBN9781786305039
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786305039"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781786305039.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">Estimation of Stochastic Processes is intended for researchers in the field of econometrics, financial mathematics, statistics or signal processing. This book gives a deep understanding of spectral theory and estimation techniques for stochastic processes with stationary increments. It focuses on the estimation of functionals of unobserved values for stochastic processes with stationary increments, including ARIMA processes, seasonal time series and a class of cointegrated sequences.
Furthermore, this book presents solutions to extrapolation (forecast), interpolation (missed values estimation) and filtering (smoothing) problems based on observations with and without noise, in discrete and continuous time domains. Extending the classical approach applied when the spectral densities of the processes are known, the minimax method of estimation is developed for a case where the spectral information is incomplete and the relations that determine the least favorable spectral densities for the optimal estimations are found. <font color=#0000dd>[308 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786305039">mehr...</a></td></tr></table><br><br>
2 Oct 2019 08:17:39 +0200
191569997059
Luz, Maksym / Moklyachuk, Mikhail
20191002T06:17:39Z

Probably Not
http://www.wileyvch.de/publish/dt/books/ISBN9781119518105
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119518105"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119518105.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 revised edition that explores random numbers, probability, and statistical inference at an introductory mathematical level
Written in an engaging and entertaining manner, the revised and updated second edition of Probably Not continues to offer an informative guide to probability and prediction. The expanded second edition contains problem and solution sets. In addition, the book's illustrative examples reveal how we are living in a statistical world, what we can expect, what we really know based upon the information at hand and explains when we only think we know something.
The author introduces the principles of probability and explains probability distribution functions. The book covers combined and conditional probabilities and contains a new section on Bayes Theorem and Bayesian Statistics, which features some simple examples including the Presecutor's Paradox, and Bayesian vs. Frequentist thinking about statistics. New to this edition is a chapter on Benford's Law that explores measuring the compliance and financial fraud detection using Benford's Law. This book:
* Contains relevant mathematics and examples that demonstrate how to use the concepts presented
* Features a new chapter on Benford's Law that explains why we find Benford's law upheld in so many, but not all, natural situations
* Presents updated Life insurance tables
* Contains updates on the Gantt Chart example that further develops the discussion of random events
* Offers a companion site featuring solutions to the problem sets within the book
Written for mathematics and statistics students and professionals, the updated edition of Probably Not: Future Prediction Using Probability and Statistical Inference, Second Edition combines the mathematics of probability with realworld examples.
LAWRENCE N. DWORSKY, PhD, is a retired Vice President of the Technical Staff and Director of Motorola's Components Research Laboratory in Schaumburg, Illinois, USA. He is the author of Introduction to Numerical Electrostatics Using MATLAB from Wiley. <font color=#0000dd>[352 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119518105">mehr...</a></td></tr></table><br><br>
23 Sep 2019 08:17:40 +0200
221569219460
Dworsky, Lawrence N.
20190923T06:17:40Z

Predictive Control
http://www.wileyvch.de/publish/dt/books/ISBN9781119119548
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119119548"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119119548.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 a comprehensive introduction to model predictive control (MPC), including its basic principles and algorithms, system analysis and design methods, strategy developments and practical applications. The main contents of the book include an overview of the development trajectory and basic principles of MPC, typical MPC algorithms, quantitative analysis of classical MPC systems, design and tuning methods for MPC parameters, constrained multivariable MPC algorithms and online optimization decomposition methods. Readers will then progress to more advanced topics such as nonlinear MPC and its related algorithms, the diversification development of MPC with respect to control structures and optimization strategies, and robust MPC. Finally, applications of MPC and its generalization to optimizationbased dynamic problems other than control will be discussed.
* Systematically introduces fundamental concepts, basic algorithms, and applications of MPC
* Includes a comprehensive overview of MPC development, emphasizing recent advances and modern approaches
* Features numerous MPC models and structures, based on rigorous research
* Based on the bestselling Chinese edition, which is a key text in China
Predictive Control: Fundamentals and Developments is written for advanced undergraduate and graduate students and researchers specializing in control technologies. It is also a useful reference for industry professionals, engineers, and technicians specializing in advanced optimization control technology. <font color=#0000dd>[440 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119119548">mehr...</a></td></tr></table><br><br>
23 Sep 2019 08:17:30 +0200
141569219450
Xi, Yugeng / Li, Dewei
20190923T06:17:30Z

Handbook of Statistical Genomics
http://www.wileyvch.de/publish/dt/books/ISBN9781119429142
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119429142"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119429142.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 timely update of a highly popular handbook on statistical genomics
This new, twovolume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, earlycareer researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequencebased functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multispecies coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation.
The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive crossreferencing between chapters, tying the different areas together. With heavy use of uptodate examples and references to webbased resources, this continues to be a musthave reference in a vital area of research.
* Provides muchneeded, timely coverage of new developments in this expanding area of study
* Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics
* Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics
* Extensive coverage of human genetic epidemiology, including ethical aspects
* Edited by one of the leading experts in the field along with rising stars as his coeditors
* Chapter authors are worldrenowned experts in the field, and newly emerging leaders.
The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and earlycareer researchers involved in statistical genetics. <font color=#0000dd>[1224 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119429142">mehr...</a></td></tr></table><br><br>
9 Sep 2019 08:17:51 +0200
331568009871
Balding, David J. / Moltke, Ida / Marioni, John (eds.)
20190909T06:17:51Z

Network Modeling, Simulation and Analysis in MATLAB
http://www.wileyvch.de/publish/dt/books/ISBN9781119631439
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119631439"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119631439.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 purpose of this book is first to study MATLAB programming concepts, then the basic concepts of modeling and simulation analysis, particularly focus on digital communication simulation. The book will cover the topics practically to describe network routing simulation using MATLAB tool. It will cover the dimensions' like Wireless network and WSN simulation using MATLAB, then depict the modeling and simulation of vehicles power network in detail along with considering different case studies.
Key features of the book include:
* Discusses different basics and advanced methodology with their fundamental concepts of exploration and exploitation in NETWORK SIMULATION.
* Elaborates practice questions and simulations in MATLAB
* Studentfriendly and Concise
* Useful for UG and PG level research scholar
* Aimed at Practical approach for network simulation with more programs with step by step comments.
* Based on the Latest technologies, coverage of wireless simulation and WSN concepts and implementations <font color=#0000dd>[366 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119631439">mehr...</a></td></tr></table><br><br>
21 Aug 2019 08:17:17 +0200
41566368237
Le, DacNhuong / Pandey, Abhishek Kumar / Tadepalli, Sairam / Singh Rathore, Pramod / Chatterjee, Jyotir Moy
20190821T06:17:17Z

Opinion Analysis in Interactions
http://www.wileyvch.de/publish/dt/books/ISBN9781786304193
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786304193"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781786304193.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">As time goes on, big companies such as Amazon, Microsoft, Google and Apple become increasingly interested in virtual assistants. The interest and development of social robots has put research into affective and social computing at the forefront of the scene.
The aim of Opinion Analysis in Interactions is to present methods based on artificial intelligence through a combination of machine learning models and symbolic approaches. Also discussed are natural language processing and affective computing, via the analysis and generation of socioemotional signals.
The book explores the analysis of opinions in humanhuman interaction and tackles the lessexplored (yet crucial) challenges related to the analysis methods of user opinions within the context of humanagent interaction. It also illustrates the implementation of strategies for selecting and generating agent utterances in response to user opinions, and opens up perspectives on the agent's multimodal generation of utterances that hold attitudes. <font color=#0000dd>[162 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786304193">mehr...</a></td></tr></table><br><br>
19 Aug 2019 08:18:06 +0200
321566195486
Clavel, Chloe
20190819T06:18:06Z

Analytic SQL in SQL Server 2014/2016
http://www.wileyvch.de/publish/dt/books/ISBN9781786304124
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786304124"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781786304124.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">Business Intelligence (BI) has emerged as a field which seeks to support managers in decisionmaking. It encompasses the techniques, methods and tools for conducting analyticallybased IT solutions, which are referred to as OLAP (OnLine Analytical Processing). Within this field, SQL has a role as a leader and is continuously evolving to cover both transactional and analytical data management.
This book discusses the functions provided by Microsoft® SQL Server 2014/2016 in terms of business intelligence. The analytic functions are considered as an enrichment of the SQL language. They combine a series of practical functions to answer complex analysis requests with all the simplicity, elegance and acquired performance of the SQL language.
Drawing on the wide experience of the author in teaching and research, as well as insights from contacts in the industry, this book focuses on the issues and difficulties faced by academics (students and teachers) and professionals engaged in data analysis with the SQL Server 2014/2016 database management system. <font color=#0000dd>[168 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786304124">mehr...</a></td></tr></table><br><br>
19 Aug 2019 08:18:05 +0200
311566195485
Ghlala, Riadh
20190819T06:18:05Z

Statistics in Environmental Sciences
http://www.wileyvch.de/publish/dt/books/ISBN9781786305077
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786305077"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781786305077.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">Statistical tools are indispensable for the environmental sciences. They have become an integral part of the scientific process, from the development of the sampling plan to the obtainment of results.
Statistics in Environmental Sciences provides the foundation for the interpretation of quantitative data (basic vocabulary, main laws of probabilities, etc.) and the thinking behind sampling and experimental methodology. It also introduces the principles of statistical tests such as decision theory and examines the key choices in statistical tests, while keeping the established objectives in mind.
The book examines the most used statistics in the field of environmental sciences. Detailed descriptions based on concrete examples are given, as well as descriptions obtained through the use of the free software R (whose usage is also presented). <font color=#0000dd>[310 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786305077">mehr...</a></td></tr></table><br><br>
19 Aug 2019 08:18:04 +0200
301566195484
David, Valerie
20190819T06:18:04Z

Statistics for Terrified Biologists
http://www.wileyvch.de/publish/dt/books/ISBN9781119563679
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119563679"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119563679.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">Makes mathematical and statistical analysis understandable to even the least mathminded biology student
This unique textbook aims to demystify statistical formulae for the average biology student. Written in a lively and engaging style, Statistics for Terrified Biologists, 2nd Edition draws on the author's 30 years of lecturing experience to teach statistical methods to even the most guarded of biology students. It presents basic methods using straightforward, jargonfree language. Students are taught to use simple formulae and how to interpret what is being measured with each test and statistic, while at the same time learning to recognize overall patterns and guiding principles. Complemented by simple examples and useful case studies, this is an ideal statistics resource tool for undergraduate biology and environmental science students who lack confidence in their mathematical abilities.
Statistics for Terrified Biologists presents readers with the basic foundations of parametric statistics, the ttest, analysis of variance, linear regression and chisquare, and guides them to important extensions of these techniques. It introduces them to nonparametric tests, and includes a checklist of nonparametric methods linked to their parametric counterparts. The book also provides many endofchapter summaries and additional exercises to help readers understand and practice what they've learned.
* Presented in a clear and easytounderstand style
* Makes statistics tangible and enjoyable for even the most hesitant student
* Features multiple formulas to facilitate comprehension
* Written by of the foremost entomologists of his generation
This second edition of Statistics for Terrified Biologists is an invaluable guide that will be of great benefit to prehealth and biology undergraduate students. <font color=#0000dd>[360 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119563679">mehr...</a></td></tr></table><br><br>
19 Aug 2019 08:18:03 +0200
291566195483
van Emden, Helmut F.
20190819T06:18:03Z

Fundamentals of Supply Chain Theory
http://www.wileyvch.de/publish/dt/books/ISBN9781119024842
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119024842"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119024842.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 fundamentals of supply chain theory
This book presents the methodology and foundations of supply chain management and also demonstrates how recent developments build upon classic models. The authors focus on strategic, tactical, and operational aspects of supply chain management and cover a broad range of topics from forecasting, inventory management, and facility location to transportation, process flexibility, and auctions. Key mathematical models for optimizing the design, operation, and evaluation of supply chains are presented as well as models currently emerging from the research frontier.
Fundamentals of Supply Chain Theory, Second Edition contains new chapters on transportation (traveling salesman and vehicle routing problems), integrated supply chain models, and applications of supply chain theory. New sections have also been added throughout, on topics including machine learning models for forecasting, conic optimization for facility location, a multisupplier model for supply uncertainty, and a gametheoretic analysis of auctions. The second edition also contains case studies for each chapter that illustrate the realworld implementation of the models presented. This edition also contains nearly 200 new homework problems, over 60 new worked examples, and over 140 new illustrative figures.
Plentiful teaching supplements are available, including an Instructor's Manual and PowerPoint slides, as well as MATLAB programming assignments that require students to code algorithms in an effort to provide a deeper understanding of the material.
Ideal as a textbook for upperundergraduate and graduatelevel courses in supply chain management in engineering and business schools, Fundamentals of Supply Chain Theory, Second Edition will also appeal to anyone interested in quantitative approaches for studying supply chains.
Lawrence V. Snyder, PhD, is Professor in the Department of Industrial and Systems Engineering and CoDirector of the Institute for Data, Intelligent Systems, and Computation at Lehigh University. He has written numerous journal articles and tutorials on optimization models for supply chains and other infrastructure systems, with a focus on decisionmaking under uncertainty.
ZuoJun Max Shen, PhD, is Professor in the Department of Industrial Engineering and Operations Research and the Department of Civil and Environmental Engineering at the University of California at Berkeley. He is an INFORMS Fellow and has published and consulted extensively in the areas of integrated supply chain design and management, data driven decision making, and systems optimization. <font color=#0000dd>[784 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119024842">mehr...</a></td></tr></table><br><br>
19 Aug 2019 08:17:26 +0200
31566195446
Snyder, Lawrence V. / Shen, ZuoJun Max
20190819T06:17:26Z

Biostatistics
http://www.wileyvch.de/publish/dt/books/ISBN9781119496571
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119496571"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119496571.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>[720 Seiten, EBook]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119496571">mehr...</a></td></tr></table><br><br>
9 Aug 2019 08:26:02 +0200
4511565331962
Daniel, Wayne W. / Cross, Chad L.
20190809T06:26:02Z

Business Statistics
http://www.wileyvch.de/publish/dt/books/ISBN9781119320890
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119320890"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119320890.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">Business Statistics: For Contemporary Decision Making, 9th Edition continues the tradition of presenting and explaining the wonders of business statistics through the use of clear, complete, studentfriendly pedagogy. Ken Black's text equips readers with the quantitative decisionmaking skills and analysis techniques they need to make smart decisions based on realworld data. <font color=#0000dd>[848 Seiten, EBook]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119320890">mehr...</a></td></tr></table><br><br>
9 Aug 2019 08:26:01 +0200
4501565331961
Black, Ken
20190809T06:26:01Z

Introductory Statistics, Enhanced Edition
http://www.wileyvch.de/publish/dt/books/ISBN9781119537045
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119537045"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119537045.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 text is an unbound, three hole punched version.
Introductory Statistics, Binder Ready Version, 9th Edition is written for a one or two semester first course in applied statistics and is intended for students who do not have a strong background in mathematics. The only prerequisite is knowledge of elementary algebra. Introductory Statistics is known for its realistic examples and exercises, clarity and brevity of presentation, and soundness of pedagogical approach. <font color=#0000dd>[640 Seiten, EBook]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119537045">mehr...</a></td></tr></table><br><br>
9 Aug 2019 08:25:59 +0200
4491565331960
Mann, Prem S.
20190809T06:25:59Z

Introduction to Statistical Investigations, Enhanced eText
http://www.wileyvch.de/publish/dt/books/ISBN9781119523819
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119523819"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119523819.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">Introduction to Statistical Investigations, Binder Ready Version leads students to learn about the process of conducting statistical investigations from data collection, to exploring data, to statistical inference, to drawing appropriate conclusions. The text is designed for a onesemester introductory statistics course.
It focuses on genuine research studies, active learning, and effective use of technology. Simulations and randomization tests introduce statistical inference, yielding a strong conceptual foundation that bridges students to theorybased inference approaches. Repetition allows students to see the logic and scope of inference. This implementation follows the GAISE recommendations endorsed by the American Statistical Association. This is an unbound, binderready version. <font color=#0000dd>[704 Seiten, EBook]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119523819">mehr...</a></td></tr></table><br><br>
9 Aug 2019 08:25:58 +0200
4481565331958
Tintle, Nathan / Chance, Beth L. / Cobb, George W. / Rossman, Allan J. / Roy, Soma / Swanson, Todd / VanderStoep, Jill
20190809T06:25:58Z

Statistics
http://www.wileyvch.de/publish/dt/books/ISBN9781119497059
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119497059"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119497059.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>[630 Seiten, EBook]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119497059">mehr...</a></td></tr></table><br><br>
9 Aug 2019 08:25:57 +0200
4471565331957
Johnson, Richard A. / Bhattacharyya, Gouri K.
20190809T06:25:57Z

Statistics
http://www.wileyvch.de/publish/dt/books/ISBN9781119308843
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119308843"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119308843.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 Wiley's Enhanced EText, you get all the benefits of a downloadable, reflowable eBook with added resources to make your study time more effective, including:
* Embedded & Searchable Tables & Figures
* Links to Datasets through wiley.com
* Video Solutions & Tutorials
* Dataset Index embedded including links to datasets by page number
Statistics: Unlocking the Power of Data, 2nd Edition continues to utilize these intuitive methods like randomization and bootstrap intervals to introduce the fundamental idea of statistical inference. These methods are brought to life through authentically relevant examples, enabled through easy to use statistical software, and are accessible at very early stages of a course. The program includes the more traditional methods like ttests, chisquare texts, etc. but only after students have developed a strong intuitive understanding of inference through randomization methods. The focus throughout is on data analysis and the primary goal is to enable students to effectively collect data, analyze data, and interpret conclusions drawn from data. The program is driven by real data and real applications. <font color=#0000dd>[EBook]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119308843">mehr...</a></td></tr></table><br><br>
9 Aug 2019 08:25:56 +0200
4461565331956
Lock, Robin H. / Lock, Patti Frazer / Lock Morgan, Kari / Lock, Eric F. / Lock, Dennis F.
20190809T06:25:56Z

Mann's Introductory Statistics, Global Edition
http://www.wileyvch.de/publish/dt/books/ISBN9781119249047
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119249047"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119249047.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">Mann's Introductory Statistics is written for a one or two semester first course in applied statistics and is intended for students who do not have a strong background in mathematics. The only prerequisite is knowledge of elementary algebra. Introductory Statistics is known for its realistic examples and exercises, clarity and brevity of presentation, and soundness of pedagogical approach. <font color=#0000dd>[624 Seiten, EBook]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119249047">mehr...</a></td></tr></table><br><br>
9 Aug 2019 08:25:55 +0200
4451565331955
Mann, Prem S.
20190809T06:25:55Z

Introductory Statistics
http://www.wileyvch.de/publish/dt/books/ISBN9781119148258
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119148258"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119148258.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">Introductory Statistics, 9th Edition is written for a one or two semester first course in applied statistics and is intended for students who do not have a strong background in mathematics. The only prerequisite is knowledge of elementary algebra. Introductory Statistics is known for its realistic examples and exercises, clarity and brevity of presentation, and soundness of pedagogical approach. <font color=#0000dd>[640 Seiten, EBook]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119148258">mehr...</a></td></tr></table><br><br>
9 Aug 2019 08:25:54 +0200
4441565331954
Mann, Prem S.
20190809T06:25:54Z

Statistics
http://www.wileyvch.de/publish/dt/books/ISBN9781118544242
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781118544242"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781118544242.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 First Edition of Statistics moves the curriculum in innovativeways while still looking relatively familiar. Statistics utilizesintuitive methods to introduce the fundamental idea of statisticalinference. These intuitive methods are enabled through statisticalsoftware and are accessible at very early stages of a course. Thetext also includes the more traditional methods such as ttests,chisquare tests, etc., but only after students have developed astrong intuitive understanding of inference through randomizationmethods. The text is designed for use in a onesemesterintroductory statistics course. The focus throughout is on dataanalysis and the primary goal is to enable students to effectivelycollect data, analyze data, and interpret conclusions drawn fromdata. The text is driven by real data and real applications.Although the only prerequisite is a minimal working knowledge ofalgebra, students completing the course should be able toaccurately interpret statistical results and to analyzestraightforward data sets. <font color=#0000dd>[736 Seiten, EBook]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781118544242">mehr...</a></td></tr></table><br><br>
9 Aug 2019 08:25:52 +0200
4431565331953
Lock, Robin H. / Lock, Patti Frazer / Lock Morgan, Kari / Lock, Eric F. / Lock, Dennis F.
20190809T06:25:52Z

Workshop Statistics
http://www.wileyvch.de/publish/dt/books/ISBN9781118214831
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781118214831"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781118214831.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">Allan Rossman's 4th Edition of Workshop Statistics: Discovery withData, is enhanced from previous issues with more focus andemphasis on collaborative learning. It further requiresstudent observation, and integrates technology for gathering,recording, and synthesizing data. The text offers moreflexibility in selecting technology tools for classrooms primarilyusing technologies other than graphing calculators orFathomTM Dynamic Data software. Furthermore, it presents morestandards for teaching statistics in an innovative, investigative,and accessible as well as provides indepth guidance and resourcesto support active learning of statistics and includes updated realdata sets with everyday applications in order to promotestatistical literacy. <font color=#0000dd>[752 Seiten, EBook]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781118214831">mehr...</a></td></tr></table><br><br>
9 Aug 2019 08:25:51 +0200
4421565331951
Rossman, Allan J. / Chance, Beth L.
20190809T06:25:51Z

Applied Statistics and Probability for Engineers
http://www.wileyvch.de/publish/dt/books/ISBN9781119400363
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119400363"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119400363.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">Applied Statistics and Probability for Engineers, 7th Edition provides a practical approach designed for engineering and science majors. Students learn how the material will be relevant in their careers through the integration of unique problem sets that reflect realistic applications and situations from research as well as the authors consulting experiences. Applied Statistics, 7e is suitable for either a one or twoterm course in probability and statistics. The 7th edition of this text focuses on real engineering applications and real engineering solutions while including material on the bootstrap, increased emphasis on the use of Pvalue, coverage of equivalence testing, combining pvalues. The exposition, examples, exercises and answers in the text and WileyPLUS have been meticulously checked for accuracy. The 7th edition focuses on online course delivery to provide multiple channels of student engagement and selfstudy.
The Enhanced EText is also available bundled with an abridged print companion and can be ordered by contacting customer service here:
ISBN: 9781119456261
Price: $97.95
Canadian Price: $111.50 <font color=#0000dd>[564 Seiten, EBook]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119400363">mehr...</a></td></tr></table><br><br>
9 Aug 2019 08:22:59 +0200
2971565331779
Montgomery, Douglas C. / Runger, George C.
20190809T06:22:59Z

Design and Analysis of Experiments
http://www.wileyvch.de/publish/dt/books/ISBN9781119320937
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119320937"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119320937.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">Design and Analysis of Experiments, 9th Edition continues to help senior and graduate students in engineering, business, and statisticsas well as working practitionersto design and analyze experiments for improving the quality, efficiency and performance of working systems.
This bestselling text maintains its comprehensive coverage by including: new examples, exercises, and problems (including in the areas of biochemistry and biotechnology); new topics and problems in the area of response surface; new topics in nested and splitplot design; and the residual maximum likelihood method is now emphasized throughout the book. <font color=#0000dd>[640 Seiten, EBook]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119320937">mehr...</a></td></tr></table><br><br>
9 Aug 2019 08:22:58 +0200
2961565331778
Montgomery, Douglas C.
20190809T06:22:58Z

Design and Analysis of Experiments
http://www.wileyvch.de/publish/dt/books/ISBN9781118324264
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781118324264"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781118324264.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 eighth edition of this bestselling text continues to helpsenior and graduate students in engineering, business, andstatisticsas well as working practitionersto design and analyzeexperiments for improving the quality, efficiency and performanceof working systems.
The eighth edition of Design and Analysis of Experiments maintainsits comprehensive coverage by including: new examples, exercises,and problems (including in the areas of biochemistry andbiotechnology); new topics and problems in the area of responsesurface; new topics in nested and splitplot design; and theresidual maximum likelihood method is now emphasized throughout thebook.
Continuing to place a strong focus on the use of the computer, thisedition includes software examples taken from the four mostdominant programs in the field: DesignExpert, Minitab, JMP, andSAS. <font color=#0000dd>[752 Seiten, EBook]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781118324264">mehr...</a></td></tr></table><br><br>
9 Aug 2019 08:22:56 +0200
2951565331777
Montgomery, Douglas C.
20190809T06:22:56Z

Applied Statistics and Probability for Engineers, EMEA Edition
http://www.wileyvch.de/publish/dt/books/ISBN9781119585596
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119585596"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119585596.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>[Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119585596">mehr...</a></td></tr></table><br><br>
29 Jul 2019 08:17:26 +0200
91564381046
Montgomery, Douglas C. / Runger, George C.
20190729T06:17:26Z

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

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