Modern Regression Methods( Series - Wiley Series In Probability And Statistics )

." . . provides a very thorough treatment of regression approaches,

including techniques not covered in many books . . ."
--Technometrics

." . . an excellent book . . . worthwhile for anyone who uses regression techniques to obtain their own copy of this book . . ."
-- Australian & New Zealand Journal of Statistics

Modern Regression Methods, Second Edition maintains the accessible organization, breadth of coverage, and cutting-edge appeal that earned its predecessor the title of being one of the top five books for statisticians by an Amstat News book editor in 2003. This new edition has been updated and enhanced to include all-new information on the latest advances and research in the evolving field of regression analysis.

The book provides a unique treatment of fundamental regression methods, such as diagnostics, transformations, robust regression, and ridge regression. Unifying key concepts and procedures, this new edition emphasizes applications to provide a more hands-on and comprehensive understanding of regression diagnostics. New features of the Second Edition include:

A revised chapter on logistic regression, including improved methods of parameter estimation

A new chapter focusing on additional topics of study in regression, including quantile regression, semiparametric regression, and Poisson regression

A wealth of new and updated exercises with worked solutions

An extensive FTP site complete with Minitab(R) macros, which allow the reader to compute analyses, and specialized procedures

Updated references at the end of each chapter that direct the reader to the appropriate resources for further study

Anaccessible guide to state-of-the-art regression techniques, Modern Regression Methods, Second Edition is an excellent book for courses in regression analysis at the upper-undergraduate and graduate levels. It is also a valuable reference for practicing statisticians, engineers, and physical scientists.

Regression is a popular research area, and regression analysis is an ever-changing collection of techniques. This book offers a synthesis of state-of-the-art regression methodology. Featuring a strong data analysis orientation, it presents regression diagnostics in a uniquely comprehensive manner. Each chapter contains a brief section for SAS, Minitab, SPSS, BMDP, and Systat users, though particular software packages are not emphasized overall. Enhancements to the second edition include a unification and expansion of subject areas addressed in the first edition, as well as an increased emphasis on applications. Modern Regression Methods offers a peerless resource for students, researchers, and practitioners alike.