Chatterjee / Simonoff Handbook of Regression Analysis

1. Auflage 2013
ISBN: 978-1-118-53281-2
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 252 Seiten, E-Book

Reihe: Wiley Handbooks in Applied Statistics

A Comprehensive Account for Data Analysts of the Methods and Applications of Regression Analysis.
Written by two established experts in the field, the purpose of the Handbook of Regression Analysis is to provide a practical, one-stop reference on regression analysis. The focus is on the tools that both practitioners and researchers use in real life. It is intended to be a comprehensive collection of the theory, methods, and applications of regression methods, but it has been deliberately written at an accessible level.
The handbook provides a quick and convenient reference or "refresher" on ideas and methods that are useful for the effective analysis of data and its resulting interpretations. Students can use the book as an introduction to and/or summary of key concepts in regression and related course work (including linear, binary logistic, multinomial logistic, count, and nonlinear regression models). Theory underlying the methodology is presented when it advances conceptual understanding and is always supplemented by hands-on examples.
References are supplied for readers wanting more detailed material on the topics discussed in the book. R code and data for all of the analyses described in the book are available via an author-maintained website.
"I enjoyed the presentation of the Handbook, and I would be happy to recommend this nice handy book as a reference to my students. The clarity of the writing and proper choices of examples allows the presentations ofmany statisticalmethods shine. The quality of the examples at the end of each chapter is a strength. They entail explanations of the resulting R outputs and successfully guide readers to interpret them." American Statistician

Autoren/Hrsg.

Chatterjee, Samprit

Simonoff, Jeffrey S.

Über Autor(innen)

SAMPRIT CHATTERJEE, PhD, is Professor Emeritus ofStatistics at New York University. A Fellow of the AmericanStatistical Association, Dr. Chatterjee has been a Fulbrightscholar in both Kazakhstan and Mongolia. He is the coauthor ofRegression Analysis by Example, Sensitivity Analysis inLinear Regression, and A Casebook for a First Course inStatistics and Data Analysis, all published by Wiley.
Jeffrey S. Simonoff, PhD, is Professor ofStatistics at the Leonard N. Stern School of Business of New YorkUniversity. He is a Fellow of the American Statistical Association,a Fellow of the Institute of Mathematical Statistics, and anElected Member of the International Statistical Institute. He hasauthored or coauthored more than ninety articles and five books onthe theory and applications of statistics.