WileyVCH  Statistik
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http://www.wileyvch.de/
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Copyright © 20002016 by WileyVCH Weinheim or related companies. All rights reserved.
7 Apr 2020 08:18:06 +0200
20200407T06:18:06Z
Copyright © 20002016 by WileyVCH Weinheim or related companies. All rights reserved.
pfischer@wileyvch.de
pfischer@wileyvch.de
New Books: Statistik
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Medizinische Statistik für Dummies
http://www.wileyvch.de/publish/dt/books/ISBN9783527715848
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9783527715848"><img src="http://www.wileyvch.de/books/rss/cover_80/9783527715848.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">Auch in der Medizin ist Statistik wichtig. Egal ob bei der Durchführung von Studien oder dem Interpretieren von Ergebnissen; ohne Biostatistik geht es nicht. Lernen Sie mit diesem Buch alle Grundlagen kennen und wenden Sie das theoretisch gelernte Wissen praktisch an! <font color=#0000dd>[388 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9783527715848">mehr...</a></td></tr></table><br><br>
2 Apr 2020 08:17:43 +0200
211585808263
Rauch, Geraldine / Neumann, Konrad / Grittner, Ulrike / Herrmann, Carolin / Kruppa, Jochen
20200402T06:17:43Z

Human Genetics and Genomics
http://www.wileyvch.de/publish/dt/books/ISBN9783527337484
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9783527337484"><img src="http://www.wileyvch.de/books/rss/cover_80/9783527337484.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">Das erste Laborhandbuch der Humangenetik. Jedes Kapitel behandelt eine Praxiseinheit. Die Themen reichen von den Grundlagen des menschlichen Erbgutes über die Genetik von Krankheiten, webbasierte Ressourcen, Bioinformatik und Individualmedizin bis hin zur genetischen Beratung. <font color=#0000dd>[160 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9783527337484">mehr...</a></td></tr></table><br><br>
1 Apr 2020 08:17:37 +0200
171585721857
Taneri, Bahar / Asilmaz, Esra / Delikurt, Türem / Savas, Pembe / Targen, Seniye / Esemen, Yagmur
20200401T06:17:37Z

Data Analysis and Applications 3
http://www.wileyvch.de/publish/dt/books/ISBN9781786305343
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786305343"><img src="http://www.wileyvch.de/books/rss/cover_80/9781786305343.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is selfevident. New publications are appearing, covering the need for information from all fields of science and engineering, thanks to the universal relevance of data analysis and statistics packages.This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis. The chapters included in this volume represent a crosssection of current concerns and research interests in these scientific areas. The material is divided into two parts: Computational Data Analysis, and Classification Data Analysis, with methods for both  providing the reader with both theoretical and applied information on data analysis methods, models and techniques and appropriate applications. <font color=#0000dd>[262 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786305343">mehr...</a></td></tr></table><br><br>
23 Mar 2020 08:17:35 +0100
161584947855
Makrides, Andreas / Karagrigoriou, Alex / Skiadas, Christos H. (eds.)
20200323T07:17:35Z

Data Analysis and Applications 4
http://www.wileyvch.de/publish/dt/books/ISBN9781786306241
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786306241"><img src="http://www.wileyvch.de/books/rss/cover_80/9781786306241.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Data analysis as an area of importance has grown exponentially, especially during the past couple of decades. This can be attributed to a rapidly growing computer industry and the wide applicability of computational techniques, in conjunction with new advances of analytic tools. This being the case, the need for literature that addresses this is selfevident. New publications are appearing, covering the need for information from all fields of science and engineering, thanks to the universal relevance of data analysis and statistics packages.This book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis. The chapters included in this volume represent a crosssection of current concerns and research interests in these scientific areas. The material is divided into three parts: Financial Data Analysis and Methods, Statistics and Stochastic Data Analysis and Methods, and Demographic Methods and Data Analysis providing the reader with both theoretical and applied information on data analysis methods, models and techniques and appropriate applications. <font color=#0000dd>[310 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786306241">mehr...</a></td></tr></table><br><br>
23 Mar 2020 08:17:34 +0100
151584947854
Makrides, Andreas / Karagrigoriou, Alex / Skiadas, Christos H. (eds.)
20200323T07:17:34Z

Hands On With Google Data Studio
http://www.wileyvch.de/publish/dt/books/ISBN9781119616085
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119616085"><img src="http://www.wileyvch.de/books/rss/cover_80/9781119616085.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 how to easily transform your data into engaging, interactive visual reports!
Data is no longer the sole domain of tech professionals and scientists. Whether in our personal, business, or community lives, data is rapidly increasing in both importance and sheer volume. The ability to visualize all kinds of data is now within reach for anyone with a computer and an internet connection. Google Data Studio, quickly becoming the most popular free tool in data visualization, offers users a flexible, powerful way to transform private and public data into interactive knowledge that can be easily shared and understood. Hands On With Google Data Studio teaches you how to visualize your data today and produce professional quality results quickly and easily.
No previous experience is required to get started right awayall you need is this guide, a Gmail account, and a little curiosity to access and visualize data just like large businesses and organizations. Clear, stepbystep instructions help you identify business trends, turn budget data into a report, assess how your websites or business listings are performing, analyze public data, and much more. Practical examples and expert tips are found throughout the text to help you fully understand and apply your new knowledge to a wide array of realworld scenarios. This engaging, readerfriendly guide will enable you to:
* Use Google Data Studio to access various types of data, from your own personal data to public sources
* Build your first data set, navigate the Data Studio interface, customize reports, and share your work
* Learn the fundamentals of data visualization, personal data accessibility, and open data API's
* Harness the power of publicly accessible data services including Google's recently released Data Set Search
* Add banners, logos, custom graphics, and color palettes
Hands On With Google Data Studio: A Data Citizens Survival Guide is a musthave resource for anyone starting their data visualization journey, from individuals, consultants, and small business owners to large business and organization managers and leaders. <font color=#0000dd>[432 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119616085">mehr...</a></td></tr></table><br><br>
20 Mar 2020 08:17:54 +0100
351584688674
Hurst, Lee
20200320T07:17:54Z

Statistics  Unlocking the Power of Data, Second Edition EMEA Edition
http://www.wileyvch.de/publish/dt/books/ISBN9781119715900
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119715900"><img src="http://www.wileyvch.de/books/rss/cover_80/9781119715900.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>[EBook]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119715900">mehr...</a></td></tr></table><br><br>
17 Mar 2020 08:17:26 +0100
61584429448
Lock, PF
20200317T07:17:26Z

Dynamics of Statistical Experiments
http://www.wileyvch.de/publish/dt/books/ISBN9781786305985
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786305985"><img src="http://www.wileyvch.de/books/rss/cover_80/9781786305985.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 devoted to the system analysis of statistical experiments, determined by the averaged sums of sampling random variables. The dynamics of statistical experiments are given by difference stochastic equations with a speci?ed regression function of increments linear or nonlinear.The statistical experiments are studied by the sample volume increasing(N ??), as well as in discretecontinuous time by the number of stages increasing (k ??) for different conditions imposed on the regression function of increments.The proofs of limit theorems employ modern methods for the operator and martingale characterization of Markov processes, including singular perturbation methods. Furthermore, they justify the representation of a stationary Gaussian statistical experiment with the Markov property, as a stochastic difference equation solution, applying the theorem of normal correlation.The statistical hypotheses verification problem is formulated in the classification of evolutionary processes, which determine the dynamics of the predictable component. The method of stochastic approximation is used for classifying statistical experiments. <font color=#0000dd>[224 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786305985">mehr...</a></td></tr></table><br><br>
16 Mar 2020 08:18:01 +0100
401584343081
Koroliouk, Dmitri
20200316T07:18:01Z

Exploratory Subgroup Analyses in Clinical Research
http://www.wileyvch.de/publish/dt/books/ISBN9781119536970
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119536970"><img src="http://www.wileyvch.de/books/rss/cover_80/9781119536970.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 essential guide on subgroup analyses in the emerging area of personalized medicine covers the issues of subgroup analyses from a practical and a theoretical/methodological point of view. The practical part introduces the issues using examples from the literature where subgroup analyses led to unexpected or difficulttointerpret results, which have been interpreted differently by different stakeholders. On the technical side, the book addresses selection and selection bias variance reduction by borrowing information from the full population in estimating a subgroup effect. To this end, subgroup analysis will be linked to statistical modelling, and subgroup selection to model selection. This connection makes the techniques developed for model selection applicable to subgroup analysis.
Beginning with a history of subgroup analysis, Exploratory Subgroup Analyses in Clinical Research offers chapters that cover: objectives and current practice of subgroup analyses; pitfalls of subgroup analyses; subgroup analysis and modeling; hierarchical models in subgroup analysis; and selection bias in regression. It also looks at the predicted individual treatment effect and offers an outlook of the topic in its final chapter.
* Focuses on the statistical aspects of subgroup analysis
* Filled with classroom and conferenceworkshop tested material
* Written by a leading expert in the field of subgroup analysis
* Complemented with a companion website featuring downloadable datasets and examples for teaching use
Exploratory Subgroup Analyses in Clinical Research is an ideal book for medical statisticians and biostatisticians and will greatly benefit physicians and researchers interested in personalized medicine. <font color=#0000dd>[248 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119536970">mehr...</a></td></tr></table><br><br>
13 Mar 2020 08:17:31 +0100
131584083851
Rosenkranz, Gerd
20200313T07:17:31Z

Principles of Managerial Statistics and Data Science
http://www.wileyvch.de/publish/dt/books/ISBN9781119486411
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119486411"><img src="http://www.wileyvch.de/books/rss/cover_80/9781119486411.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students
Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples and problems come from regions throughout the world, allowing the instructor to adapt the application to local data with which students can identify. Applications with these data sets include:
* Assessing if searches during a police stop in San Diego are dependent on driver's race
* Visualizing the association between fat percentage and moisture percentage in Canadian cheese
* Modeling taxi fares in Chicago using data from millions of rides
* Analyzing mean sales per unit of legal marijuana products in Washington state
Topics covered in Principles of Managerial Statistics and Data Science include:data visualization; descriptive measures; probability; probability distributions; mathematical expectation; confidence intervals; and hypothesis testing. Analysis of variance; simple linear regression; and multiple linear regression are also included. In addition, the book offers contingency tables, Chisquare tests, nonparametric methods, and time series methods. The textbook:
* Includes academic material usually covered in introductory Statistics courses, but with a data science twist, and less emphasis in the theory
* Relies on Minitab to present how to perform tasks with a computer
* Presents and motivates use of data that comes from open portals
* Focuses on developing an intuition on how the procedures work
* Exposes readers to the potential in Big Data and current failures of its use
* Supplementary material includes: a companion website that houses PowerPoint slides; an Instructor's Manual with tips, a syllabus model, and project ideas; R code to reproduce examples and case studies; and information about the open portal data
* Features an appendix with solutions to some practice problems
Principles of Managerial Statistics and Data Science is a textbook for undergraduate and graduate students taking managerial Statistics courses, and a reference book for working business professionals. <font color=#0000dd>[688 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119486411">mehr...</a></td></tr></table><br><br>
10 Mar 2020 08:17:45 +0100
261583824665
Rivera, Roberto
20200310T07:17:45Z

Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP
http://www.wileyvch.de/publish/dt/books/ISBN9781119516637
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119516637"><img src="http://www.wileyvch.de/books/rss/cover_80/9781119516637.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Introduces basic concepts in probability and statistics to data science students, as well as engineers and scientists
Aimed at undergraduate/graduatelevel engineering and natural science students, this timely, fully updated edition of a popular book on statistics and probability shows how realworld problems can be solved using statistical concepts. It removes Excel exhibits and replaces them with R software throughout, and updates both MINITAB and JMP software instructions and content. A new chapter discussing data miningincluding big data, classification, machine learning, and visualizationis featured. Another new chapter covers cluster analysis methodologies in hierarchical, nonhierarchical, and model based clustering. The book also offers a chapter on Response Surfaces that previously appeared on the book's companion website.
Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP, Second Edition is broken into two parts. Part I covers topics such as: describing data graphically and numerically, elements of probability, discrete and continuous random variables and their probability distributions, distribution functions of random variables, sampling distributions, estimation of population parameters and hypothesis testing. Part II covers: elements of reliability theory, data mining, cluster analysis, analysis of categorical data, nonparametric tests, simple and multiple linear regression analysis, analysis of variance, factorial designs, response surfaces, and statistical quality control (SQC) including phase I and phase II control charts. The appendices contain statistical tables and charts and answers to selected problems.
* Features two new chaptersone on Data Mining and another on Cluster Analysis
* Now contains R exhibits including code, graphical display, and some results
* MINITAB and JMP have been updated to their latest versions
* Emphasizes the pvalue approach and includes related practical interpretations
* Offers a more applied statistical focus, and features modified examples to better exhibit statistical concepts
* Supplemented with an Instructor'sonly solutions manual on a book's companion website
Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP is an excellent text for graduate level data science students, and engineers and scientists. It is also an ideal introduction to applied statistics and probability for undergraduate students in engineering and the natural sciences. <font color=#0000dd>[1040 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119516637">mehr...</a></td></tr></table><br><br>
10 Mar 2020 08:17:44 +0100
251583824664
Gupta, Bhisham C. / Guttman, Irwin / Jayalath, Kalanka P.
20200310T07:17:44Z

Sampling and Estimation from Finite Populations
http://www.wileyvch.de/publish/dt/books/ISBN9780470682050
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9780470682050"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9780470682050.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 muchneeded reference on survey sampling and its applications that presents the latest advances in the field
Seeking to show that sampling theory is a living discipline with a very broad scope, this book examines the modern development of the theory of survey sampling and the foundations of survey sampling. It offers readers a critical approach to the subject and discusses putting theory into practice. It also explores the treatment of nonsampling errors featuring a range of topics from the problems of coverage to the treatment of nonresponse. In addition, the book includes real examples, applications, and a large set of exercises with solutions.
Sampling and Estimation from Finite Populations begins with a look at the history of survey sampling. It then offers chapters on: population, sample, and estimation; simple and systematic designs; stratification; sampling with unequal probabilities; balanced sampling; cluster and twostage sampling; and other topics on sampling, such as spatial sampling, coordination in repeated surveys, and multiple survey frames. The book also includes sections on: poststratification and calibration on marginal totals; calibration estimation; estimation of complex parameters; variance estimation by linearization; and much more.
* Provides an uptodate review of the theory of sampling
* Discusses the foundation of inference in survey sampling, in particular, the modelbased and designbased frameworks
* Reviews the problems of application of the theory into practice
* Also deals with the treatment of non sampling errors
Sampling and Estimation from Finite Populations is an excellent book for methodologists and researchers in survey agencies and advanced undergraduate and graduate students in social science, statistics, and survey courses. <font color=#0000dd>[448 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9780470682050">mehr...</a></td></tr></table><br><br>
28 Feb 2020 08:17:45 +0100
221582874265
Tille, Yves
20200228T07:17:45Z

Numerical Simulation, An Art of Prediction, Volume 2
http://www.wileyvch.de/publish/dt/books/ISBN9781786304322
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786304322"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781786304322.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">Numerical simulation is a technique of major importance in various technical and scientific fields. Whilst engineering curricula now include training courses dedicated to it, numerical simulation is still not wellknown in some economic sectors, and even less so among the general public.
Simulation involves the mathematical modeling of the real world, coupled with the computing power offered by modern technology. Designed to perform virtual experiments, digital simulation can be considered as an "art of prediction".
Embellished with a rich iconography and based on the testimony of researchers and engineers, this book shines a light on this littleknown art. It is the second of two volumes and gives examples of the uses of numerical simulation in various scientific and technical fields: agriculture, industry, Earth and universe sciences, meteorology and climate studies, energy, biomechanics and human and social sciences. <font color=#0000dd>[374 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786304322">mehr...</a></td></tr></table><br><br>
24 Feb 2020 08:17:25 +0100
61582528645
Sigrist, JeanFrançois
20200224T07:17:25Z

Endtoend Data Analytics for Product Development
http://www.wileyvch.de/publish/dt/books/ISBN9781119483694
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119483694"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119483694.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 interactive guide to the statistical tools used to solve problems during product and process innovation
End to End Data Analytics for Product Development is an accessible guide designed for practitioners in the industrial field. It offers an introduction to data analytics and the design of experiments (DoE) whilst covering the basic statistical concepts useful to an understanding of DoE. The text supports product innovation and development across a range of consumer goods and pharmaceutical organizations in order to improve the quality and speed of implementation through data analytics, statistical design and data prediction.
The book reviews information on feasibility screening, formulation and packaging development, sensory tests, and more. The authors  noted experts in the field  explore relevant techniques for data analytics and present the guidelines for data interpretation. In addition, the book contains information on process development and product validation that can be optimized through data understanding, analysis and validation. The authors present an accessible, handson approach that uses MINITAB and JMP software. The book:
* Presents a guide to innovation feasibility and formulation and process development
* Contains the statistical tools used to solve challenges faced during product innovation and feasibility
* Offers information on stability studies which are common especially in chemical or pharmaceutical fields
* Includes a companion website which contains videos summarizing main concepts
Written for undergraduate students and practitioners in industry, End to End Data Analytics for Product Development offers resources for the planning, conducting, analyzing and interpreting of controlled tests in order to develop effective products and processes. <font color=#0000dd>[312 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119483694">mehr...</a></td></tr></table><br><br>
21 Feb 2020 08:17:40 +0100
181582269460
Giancristofaro, Rosa Arboretti / De Dominicis, Mattia / Jones, Chris / Salmaso, Luigi
20200221T07:17:40Z

Sharing Economy and Big Data Analytics
http://www.wileyvch.de/publish/dt/books/ISBN9781786305060
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786305060"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781786305060.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 different facets of the sharing economy offer numerous opportunities for businesses ? particularly those that can be distinguished by their creative ideas and their ability to easily connect buyers and senders of goods and services via digital platforms. At the beginning of the growth of this economy, the advanced digital technologies generated billions of bytes of data that constitute what we call Big Data.
This book underlines the facilitating role of Big Data analytics, explaining why and how data analysis algorithms can be integrated operationally, in order to extract value and to improve the practices of the sharing economy. It examines the reasons why these new techniques are necessary for businesses of this economy and proposes a series of useful applications that illustrate the use of data in the sharing ecosystem. <font color=#0000dd>[268 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786305060">mehr...</a></td></tr></table><br><br>
17 Feb 2020 08:17:51 +0100
281581923871
Sedkaoui, Soraya / Khelfaoui, Mounia
20200217T07:17:51Z

Probability with R
http://www.wileyvch.de/publish/dt/books/ISBN9781119536949
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119536949"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119536949.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 introduction to probability with an emphasis on computingrelated applications
This selfcontained new and extended edition outlines a first course in probability applied to computerrelated disciplines. As in the first edition, experimentation and simulation are favoured over mathematical proofs. The freely downloadable statistical programming language R is used throughout the text, not only as a tool for calculation and data analysis, but also to illustrate concepts of probability and to simulate distributions. The examples in Probability with R: An Introduction with Computer Science Applications, Second Edition cover a wide range of computer science applications, including: testing program performance; measuring response time and CPU time; estimating the reliability of components and systems; evaluating algorithms and queuing systems.
Chapters cover: The R language; summarizing statistical data; graphical displays; the fundamentals of probability; reliability; discrete and continuous distributions; and more.
This second edition includes:
* improved R code throughout the text, as well as new procedures, packages and interfaces;
* updated and additional examples, exercises and projects covering recent developments of computing;
* an introduction to bivariate discrete distributions together with the R functions used to handle large matrices of conditional probabilities, which are often needed in machine translation;
* an introduction to linear regression with particular emphasis on its application to machine learning using testing and training data;
* a new section on spam filtering using Bayes theorem to develop the filters;
* an extended range of Poisson applications such as network failures, website hits, virus attacks and accessing the cloud;
* use of new allocation functions in R to deal with hash table collision, server overload and the general allocation problem.
The book is supplemented with a Wiley Book Companion Site featuring data and solutions to exercises within the book.
Primarily addressed to students of computer science and related areas, Probability with R: An Introduction with Computer Science Applications, Second Edition is also an excellent text for students of engineering and the general sciences. Computing professionals who need to understand the relevance of probability in their areas of practice will find it useful. <font color=#0000dd>[496 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119536949">mehr...</a></td></tr></table><br><br>
14 Feb 2020 08:17:32 +0100
171581664652
Horgan, Jane M.
20200214T07:17:32Z

Data Science Programming AllInOne For Dummies
http://www.wileyvch.de/publish/dt/books/ISBN9781119626114
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119626114"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119626114.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">Your logical, linear guide to the fundamentals of data science programming
Data science is explodingin a good waywith a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and crossvalidation of models.
Data Science Programming AllInOne For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time.
* Get grounded: the ideal start for new data professionals
* What lies ahead: learn about specific areas that data is transforming
* Be meaningful: find out how to tell your data story
* See clearly: pick up the art of visualization
Whether you're a beginning student or already midcareer, get your copy now and add even more meaning to your lifeand everyone else's! <font color=#0000dd>[768 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119626114">mehr...</a></td></tr></table><br><br>
11 Feb 2020 08:17:48 +0100
261581405468
Mueller, John Paul / Massaron, Luca
20200211T07:17:48Z

Structural Equation Modeling
http://www.wileyvch.de/publish/dt/books/ISBN9781119422709
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119422709"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119422709.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>[536 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119422709">mehr...</a></td></tr></table><br><br>
10 Feb 2020 08:17:30 +0100
101581319050
Wang, Jichuan / Wang, Xiaoqian
20200210T07:17:30Z

Advances in Network Clustering and Blockmodeling
http://www.wileyvch.de/publish/dt/books/ISBN9781119224709
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119224709"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119224709.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 an overview of the developments and advances in the field of network clustering and blockmodeling over the last 10 years
This book offers an integrated treatment of network clustering and blockmodeling, covering all of the newest approaches and methods that have been developed over the last decade. Presented in a comprehensive manner, it offers the foundations for understanding network structures and processes, and features a wide variety of new techniques addressing issues that occur during the partitioning of networks across multiple disciplines such as community detection, blockmodeling of valued networks, role assignment, and stochastic blockmodeling.
Written by a team of international experts in the field, Advances in Network Clustering and Blockmodeling offers a plethora of diverse perspectives covering topics such as: bibliometric analyses of the network clustering literature; clustering approaches to networks; label propagation for clustering; and treating missing network data before partitioning. It also examines the partitioning of signed networks, multimode networks, and linked networks. A chapter on structured networks and coarsegrained descriptions is presented, along with another on scientific coauthorship networks. The book finishes with a section covering conclusions and directions for future work. In addition, the editors provide numerous tables, figures, case studies, examples, datasets, and more.
* Offers a clear and insightful look at the state of the art in network clustering and blockmodeling
* Provides an excellent mix of mathematical rigor and practical application in a comprehensive manner
* Presents a suite of new methods, procedures, algorithms for partitioning networks, as well as new techniques for visualizing matrix arrays
* Features numerous examples throughout, enabling readers to gain a better understanding of research methods and to conduct their own research effectively
* Written by leading contributors in the field of spatial networks analysis
Advances in Network Clustering and Blockmodeling is an ideal book for graduate and undergraduate students taking courses on network analysis or working with networks using real data. It will also benefit researchers and practitioners interested in network analysis. <font color=#0000dd>[432 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119224709">mehr...</a></td></tr></table><br><br>
7 Feb 2020 08:17:34 +0100
161581059854
Doreian, Patrick / Batagelj, Vladimir / Ferligoj, Anuska (eds.)
20200207T07:17:34Z

Essentials of Mathematical Methods in Science and Engineering
http://www.wileyvch.de/publish/dt/books/ISBN9781119580249
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119580249"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119580249.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 multidisciplinary applications of mathematical methods, revised and updated
The second edition of Essentials of Mathematical Methods in Science and Engineering offers an introduction to the key mathematical concepts of advanced calculus, differential equations, complex analysis, and introductory mathematical physics for students in engineering and physics research. The book's approachable style is designed in a modular format with each chapter covering a subject thoroughly and thus can be read independently.
This updated second edition includes two new and extensive chapters that cover practical linear algebra and applications of linear algebra as well as a computer file that includes Matlab codes. To enhance understanding of the material presented, the text contains a collection of exercises at the end of each chapter. The author offers a coherent treatment of the topics with a style that makes the essential mathematical skills easily accessible to a multidisciplinary audience. This important text:
* Includes derivations with sufficient detail so that the reader can follow them without searching for results in other parts of the book
* Puts the emphasis on the analytic techniques
* Contains two new chapters that explore linear algebra and its applications
* Includes Matlab codes that the readers can use to practice with the methods introduced in the book
Written for students in science and engineering, this new edition of Essentials of Mathematical Methods in Science and Engineering maintains all the successful features of the first edition and includes new information. <font color=#0000dd>[960 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119580249">mehr...</a></td></tr></table><br><br>
4 Feb 2020 08:17:31 +0100
111580800652
Bayin, Selcuk S.
20200204T07:17:31Z

Systems Engineering in the Fourth Industrial Revolution
http://www.wileyvch.de/publish/dt/books/ISBN9781119513896
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119513896"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119513896.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 guide for using massive amounts of data and novel technologies to design, build, and maintain better systems engineering
Systems Engineering in the Fourth Industrial Revolution: Big Data, Novel Technologies, and Modern Systems Engineering offers a guide to the recent changes in systems engineering prompted by the current challenging and innovative industrial environment called the Fourth Industrial RevolutionINDUSTRY 4.0. This book contains advanced models, innovative practices, and stateoftheart research findings on systems engineering. The contributors, an international panel of experts on the topic, explore the key elements in systems engineering that have shifted towards data collection and analytics, available and used in the design and development of systems and also in the later lifecycle stages of use and retirement.
The contributors address the issues in a system in which the system involves data in its operation, contrasting with earlier approaches in which data, models, and algorithms were less involved in the function of the system. The book covers a wide range of topics including five systems engineering domains: systems engineering and systems thinking; systems software and process engineering; the digital factory; reliability and maintainability modeling and analytics; and organizational aspects of systems engineering. This important resource:
* Presents new and advanced approaches, methodologies, and tools for designing, testing, deploying, and maintaining advanced complex systems
* Explores effective evidencebased risk management practices
* Describes an integrated approach to safety, reliability, and cyber security based on system theory
* Discusses entrepreneurship as a multidisciplinary system
* Emphasizes technical merits of systems engineering concepts by providing technical models
Written for systems engineers, Systems Engineering in the Fourth Industrial Revolution offers an uptodate resource that contains the best practices and most recent research on the topic of systems engineering. <font color=#0000dd>[656 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119513896">mehr...</a></td></tr></table><br><br>
4 Feb 2020 08:17:23 +0100
51580800643
Kenett, Ron S. / Swarz, Robert S. / Zonnenshain, Avigdor (eds.)
20200204T07:17:23Z

Multicriteria DecisionMaking Under Conditions of Uncertainty
http://www.wileyvch.de/publish/dt/books/ISBN9781119534921
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119534921"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119534921.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">A guide to the various models and methods to multicriteria decisionmaking in conditions of uncertainty presented in a systematic approach
Multicriteria DecisionMaking under Conditions of Uncertainty presents approaches that help to answer the fundamental questions at the center of all decisionmaking problems: "What to do?" and "How to do it?" The book explores methods of representing and handling diverse manifestations of the uncertainty factor and a multicriteria nature of problems that can arise in system design, planning, operation, and control. The authorsnoted experts on the topicand their book covers essential questions, including notions and fundamental concepts of fuzzy sets, models and methods of multiobjective as well as multiattribute decisionmaking, the classical approach to dealing with uncertainty of information and its generalization for analyzing multicriteria problems in condition of uncertainty, and more.
This comprehensive book contains information on "harmonious solutions" in multiobjective problemsolving (analyzing <X, F> models), construction and analysis of <X, R> models, results aimed at generating robust solutions in analyzing multicriteria problems under uncertainty, and more. In addition, the book includes illustrative examples of various applications, including realworld case studies related to the authors' various industrial projects. This important resource:
* Explains the design and processing aspect of fuzzy sets, including construction of membership functions, fuzzy numbers, fuzzy relations, aggregation operations, and fuzzy sets transformations
* Describes models of multiobjective decisionmaking (<X. M> models), their analysis on the basis of using the BellmanZadeh approach to decisionmaking in a fuzzy environment, and their diverse applications, including multicriteria allocation of resources
* Investigates models of multiattribute decisionmaking (<X, R> models) and their analysis on the basis of the construction and processing of fuzzy preference relations as well as demonstrating their applications to solve diverse classes of multiattribute problems
* Explores notions of payoff matrices and fuzzysetbased generalization and modification of the classic approach to decisionmaking under conditions of uncertainty to generate robust solutions in analyzing multicriteria problems
Written for students, researchers and practitioners in disciplines in which decisionmaking is of paramount relevance, Multicriteria DecisionMaking under Conditions of Uncertainty presents a systematic and current approach that encompasses a range of models and methods as well as new applications. <font color=#0000dd>[368 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119534921">mehr...</a></td></tr></table><br><br>
4 Feb 2020 08:17:21 +0100
31580800641
Ekel, Petr / Pedrycz, Witold / Pereira, Joel
20200204T07:17:21Z

Statistics
http://www.wileyvch.de/publish/dt/books/ISBN9781119657187
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119657187"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119657187.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: 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 and are accessible at very early stages of the text.
Applications are drawn from a wide variety of disciplines, chosen primarily on the basis of perceived interest to students and instructors. Problems and exercises are plentiful and span a wide range of difficulty levels, from very straightforward short answer problems to extended projects. <font color=#0000dd>[816 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119657187">mehr...</a></td></tr></table><br><br>
28 Jan 2020 08:17:37 +0100
141580195857
Lock, Robin H. / Lock, Patti Frazer / Lock Morgan, Kari / Lock, Eric F. / Lock, Dennis F.
20200128T07:17:37Z

Quantitative Finance
http://www.wileyvch.de/publish/dt/books/ISBN9781118629956
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781118629956"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781118629956.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">Presents a multitude of topics relevant to the quantitative finance community by combining the best of the theory with the usefulness of applications
Written by accomplished teachers and researchers in the field, this book presents quantitative finance theory through applications to specific practical problems and comes with accompanying coding techniques in R and MATLAB, and some generic pseudoalgorithms to modern finance. It also offers over 300 examples and exercises that are appropriate for the beginning student as well as the practitioner in the field.
The Quantitative Finance book is divided into four parts. Part One begins by providing readers with the theoretical backdrop needed from probability and stochastic processes. We also present some useful finance concepts used throughout the book. In part two of the book we present the classical BlackScholesMerton model in a uniquely accessible and understandable way. Implied volatility as well as local volatility surfaces are also discussed. Next, solutions to Partial Differential Equations (PDE), wavelets and Fourier transforms are presented. Several methodologies for pricing options namely, tree methods, finite difference method and Monte Carlo simulation methods are also discussed. We conclude this part with a discussion on stochastic differential equations (SDE's). In the third part of this book, several new and advanced models from current literature such as general Lvy processes, nonlinear PDE's for stochastic volatility models in a transaction fee market, PDE's in a jumpdiffusion with stochastic volatility models and factor and copulas models are discussed. In part four of the book, we conclude with a solid presentation of the typical topics in fixed income securities and derivatives. We discuss models for pricing bonds market, marketable securities, credit default swaps (CDS) and securitizations.
* Classroomtested over a threeyear period with the input of students and experienced practitioners
* Emphasizes the volatility of financial analyses and interpretations
* Weaves theory with application throughout the book
* Utilizes R and MATLAB software programs
* Presents pseudoalgorithms for readers who do not have access to any particular programming system
* Supplemented with extensive authormaintained web site that includes helpful teaching hints, data sets, software programs, and additional content
Quantitative Finance is an ideal textbook for upperundergraduate and beginning graduate students in statistics, financial engineering, quantitative finance, and mathematical finance programs. It will also appeal to practitioners in the same fields. <font color=#0000dd>[496 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781118629956">mehr...</a></td></tr></table><br><br>
24 Jan 2020 08:17:29 +0100
121579850250
Mariani, Maria C. / Florescu, Ionut
20200124T07:17:29Z

Gaussian Measures in Hilbert Space
http://www.wileyvch.de/publish/dt/books/ISBN9781786302670
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786302670"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781786302670.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">At the nexus of probability theory, geometry and statistics, a Gaussian measure is constructed on a Hilbert space in two ways: as a product measure and via a characteristic functional based on MinlosSazonov theorem. As such, it can be utilized for obtaining results for topological vector spaces.Gaussian Measures contains the proof for Fernique s theorem and its relation to exponential moments in Banach space. Furthermore, the fundamental FeldmanHajek dichotomy for Gaussian measures in Hilbert space is investigated. Applications in statistics are also outlined.In addition to chapters devoted to measure theory, this book highlights problems related to Gaussian measures in Hilbert and Banach spaces. Borel probability measures are also addressed, with properties of characteristic functionals examined and a proof given based on the classical Banach Steinhaus theorem.Gaussian Measures is suitable for graduate students, plus advanced undergraduate students in mathematics and statistics. It is also of interest to students in related fields from other disciplines. Results are presented as lemmas, theorems and corollaries, while all statements are proven.Each subsection ends with teaching problems, and a separate chapter contains detailed solutions to all the problems. With its studenttested approach, this book is a superb introduction to the theory of Gaussian measures on infinitedimensional spaces. <font color=#0000dd>[272 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781786302670">mehr...</a></td></tr></table><br><br>
22 Jan 2020 08:17:43 +0100
131579677463
Kukush, Alexander
20200122T07:17:43Z

Medical Statistics at a Glance, 4e Text & Workbook
http://www.wileyvch.de/publish/dt/books/ISBN9781119692126
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119692126"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119692126.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>[328 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119692126">mehr...</a></td></tr></table><br><br>
20 Jan 2020 08:17:29 +0100
91579504649
Petrie, Aviva / Sabin, Caroline
20200120T07:17:29Z

Biostatistics
http://www.wileyvch.de/publish/dt/books/ISBN9781119636748
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119636748"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119636748.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>[EBook]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119636748">mehr...</a></td></tr></table><br><br>
8 Jan 2020 08:17:50 +0100
251578467870
Daniel, Wayne W. / Cross, Chad L.
20200108T07:17:50Z

Statistics
http://www.wileyvch.de/publish/dt/books/ISBN9781119635741
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119635741"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119635741.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>[EBook]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119635741">mehr...</a></td></tr></table><br><br>
8 Jan 2020 08:17:48 +0100
241578467869
Johnson, Richard A. / Bhattacharyya, Gouri K.
20200108T07:17:48Z

Applied Statistics and Probability for Engineers, EMEA Edition
http://www.wileyvch.de/publish/dt/books/ISBN9781119636229
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119636229"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119636229.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 provides a practical approach to probability and statistical methods. Students learn how the material will be relevant in their careers by including a rich collection of examples and problem sets that reflect realistic applications and situations. This product 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, and combining pvalues. The content, examples, exercises and answers presented in this product have been meticulously checked for accuracy. <font color=#0000dd>[EBook]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119636229">mehr...</a></td></tr></table><br><br>
8 Jan 2020 08:17:35 +0100
151578467855
Montgomery, Douglas C. / Runger, George C.
20200108T07:17:35Z

Simulation and Computational Red Teaming for Problem Solving
http://www.wileyvch.de/publish/dt/books/ISBN9781119527176
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119527176"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119527176.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 authoritative guide to computer simulation grounded in a multidisciplinary approach for solving complex problems
Simulation and Computational Red Teaming for Problem Solving offers a review of computer simulation that is grounded in a multidisciplinary approach. The authors present the theoretical foundations of simulation and modeling paradigms from the perspective of an analyst. The book provides the fundamental background information needed for designing and developing consistent and useful simulations. In addition to this basic information, the authors explore several advanced topics.
The book's advanced topics demonstrate how modern artificial intelligence and computational intelligence concepts and techniques can be combined with various simulation paradigms for solving complex and critical problems. Authors examine the concept of Computational Red Teaming to reveal how the combined fundamentals and advanced techniques are used successfully for solving and testing complex realworld problems. This important book:
* Demonstrates how computer simulation and Computational Red Teaming support each other for solving complex problems
* Describes the main approaches to modeling realworld phenomena and embedding these models into computer simulations
* Explores how a number of advanced artificial intelligence and computational intelligence concepts are used in conjunction with the fundamental aspects of simulation
Written for researchers and students in the computational modelling and data analysis fields, Simulation and Computational Red Teaming for Problem Solving covers the foundation and the standard elements of the process of building a simulation and explores the simulation topic with a modern research approach. <font color=#0000dd>[496 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119527176">mehr...</a></td></tr></table><br><br>
3 Jan 2020 08:17:48 +0100
301578035868
Tang, Jiangjun / Leu, George / Abbass, Hussein A.
20200103T07:17:48Z

Advances in Questionnaire Design, Development, Evaluation and Testing
http://www.wileyvch.de/publish/dt/books/ISBN9781119263623
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119263623"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119263623.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 and updated definitive resource for survey questionnaire testing and evaluation
Building on the success of the first Questionnaire Development, Evaluation, and Testing (QDET) conference in 2002, this book brings together leading papers from the Second International Conference on Questionnaire Design, Development, Evaluation, and Testing (QDET2) held in 2016. The volume assesses the current state of the art and science of QDET; examines the importance of methodological attention to the questionnaire in the present world of information collection; and ponders how the QDET field can anticipate new trends and directions as information needs and data collection methods continue to evolve.
Featuring contributions from international experts in survey methodology, Advances in Questionnaire Design, Development, Evaluation and Testing includes latest insights on question characteristics, usability testing, web probing, and other pretesting approaches, as well as:
* Recent developments in the design and evaluation of digital and selfadministered surveys
* Strategies for comparing and combining questionnaire evaluation methods
* Approaches for crosscultural and crossnational questionnaire development
* New data sources and methodological innovations during the last 15 years
* Case studies and practical applications
Advances in Questionnaire Design, Development, Evaluation and Testing serves as a forum to prepare researchers to meet the next generation of challenges, making it an excellent resource for researchers and practitioners in government, academia, and the private sector. <font color=#0000dd>[816 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119263623">mehr...</a></td></tr></table><br><br>
20 Dec 2019 08:17:40 +0100
141576826261
Beatty, Paul C. / Collins, Debbie / Kaye, Lyn / Padilla, JoseLuis / Willis, Gordon B. / Wilmot, Amanda (eds.)
20191220T07:17:40Z

Advanced Statistics with Applications in R
http://www.wileyvch.de/publish/dt/books/ISBN9781118387986
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781118387986"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781118387986.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">Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with pvalue are caused by misunderstanding of statistical concepts due to poor theoretical background of practitioners and applied statisticians. This book is the product of a fortyyear experience in teaching of probability and statistics and their applications for solving reallife problems.
There are more than 442 examples in the book: basically every probability or statistics concept is illustrated with an example accompanied with an R code. Many examples, such as Who said pi? What team is better? The fall of the Roman empire, James Bond chase problem, Black Friday shopping, Free fall equation: Aristotle or Galilei, and many others are intriguing. These examples cover biostatistics, finance, physics and engineering, text and image analysis, epidemiology, spatial statistics, sociology, etc.
Advanced Statistics with Applications in R teaches students to use theory for solving reallife problems through computations: there are about 500 R codes and 100 datasets. These data can be freely downloaded from the author's website dartmouth.edu/~eugened.
This book is suitable as a text for senior undergraduate students with major in statistics or data science or graduate students. Many researchers who apply statistics on the regular basis find explanation of many fundamental concepts from the theoretical perspective illustrated by concrete realworld applications. <font color=#0000dd>[880 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781118387986">mehr...</a></td></tr></table><br><br>
13 Dec 2019 08:17:50 +0100
291576221470
Demidenko, Eugene
20191213T07:17:50Z

Statistik für Dummies
http://www.wileyvch.de/publish/dt/books/ISBN9783527716661
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9783527716661"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9783527716661.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">Statistik ist kein beliebtes, aber ein notwendiges und vor allem nützliches Thema. Wer die nötigen Grundbegriffe erstmal verinnerlicht hat findet immer neue Anwendungsmöglichkeiten und muss sich nicht länger vor dem Thema verstecken. <font color=#0000dd>[358 Seiten, Softcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9783527716661">mehr...</a></td></tr></table><br><br>
5 Dec 2019 08:17:39 +0100
141575530259
Rumsey, Deborah J.
20191205T07:17:39Z

Data Mining for Business Analytics
http://www.wileyvch.de/publish/dt/books/ISBN9781119549840
<table border="0" cellpadding="0" cellspacing="0"><tr><td valign="top"><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119549840"><img src="http://www.wileyvch.de/books/rsssrv/var/www/html/books/rss/cover_80/9781119549840.jpg" border="0" align="top"> </a></td> <td valign="top"><img src="http://www.wileyvch.de/books/rss/rsstrack.gif?Section=ST00" width="1" height="1" border="0" align="top"> </td> <td valign="top">Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python presents an applied approach to data mining concepts and methods, using Python software for illustration
Readers will learn how to implement a variety of popular data mining algorithms in Python (a free and opensource software) to tackle business problems and opportunities.
This is the sixth version of this successful text, and the first using Python. It covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining and network analysis. It also includes:
* A new coauthor, Peter Gedeck, who brings both experience teaching business analytics courses using Python, and expertise in the application of machine learning methods to the drugdiscovery process
* A new section on ethical issues in data mining
* Updates and new material based on feedback from instructors teaching MBA, undergraduate, diploma and executive courses, and from their students
* More than a dozen case studies demonstrating applications for the data mining techniques described
* Endofchapter exercises that help readers gauge and expand their comprehension and competency of the material presented
* A companion website with more than two dozen data sets, and instructor materials including exercise solutions, PowerPoint slides, and case solutions
Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python is an ideal textbook for graduate and upperundergraduate level courses in data mining, predictive analytics, and business analytics. This new edition is also an excellent reference for analysts, researchers, and practitioners working with quantitative methods in the fields of business, finance, marketing, computer science, and information technology.
"This book has by far the most comprehensive review of business analytics methods that I have ever seen, covering everything from classical approaches such as linear and logistic regression, through to modern methods like neural networks, bagging and boosting, and even much more business specific procedures such as social network analysis and text mining. If not the bible, it is at the least a definitive manual on the subject."
Gareth M. James, University of Southern California and coauthor (with Witten, Hastie and Tibshirani) of the bestselling book An Introduction to Statistical Learning, with Applications in R <font color=#0000dd>[608 Seiten, Hardcover]</font><br><br><a href="http://www.wileyvch.de/publish/dt/books/ISBN9781119549840">mehr...</a></td></tr></table><br><br>
26 Nov 2019 08:17:45 +0100
231574752665
Shmueli, Galit / Bruce, Peter C. / Gedeck, Peter / Patel, Nitin R.
20191126T07:17:45Z

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