Springer Robust Diagnostic Regression Analysis (Springer Series in Statistics)

Product Description Graphs are used to understand the relationship between a regression model and the data to which it is fitted. The authors develop new, highly informative graphs for the analysis of regression data and for the detection of model inadequacies. As well as illustrating new procedures, the authors develop the theory of the models used, particularly for generalized linear models. The book provides statisticians and scientists with a new set of tools for data analysis. Software to produce the plots is available on the authors website. Review From the reviews: MATHEMATICAL REVIEWS "The text is lucidly written and theoretical discussions are amply complemented with examples and exercises. The book is accessible to students and users of statistical methods. It could, without doubt, serve as a textbook for courses on applied regression and generalized linear models. It will be a welcome addition to the resources of any applied statistician." TECHNOMETRICS "I would recommend practitioners of regression, this is, probably most of us, to read and use this book." JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION "I would recommend ROBUST DIAGNOSTICS REGRESSION ANALYSIS and tools for anyone who does a fair amount of applied regression analysis on small- to moderate-sized datasets. It would be especially useful for anyone who uses nonlinear regression and/or generalized linear regression, where many fewer diagnostic tools are available. As a textbook, it would be good as a supplemental or even a primary text in a masters-level regression course. Researchers in other fields who do their own regression analysis also should be referred to this text, which they will find quite understandable." "This book presents a host of graphical tools for regression data analysis, based on the ‘forward search’ approach. … In order to make the work accessible to users, the authors have developed a number of SPlus programs. … it would be an excellent reference book for students as well as other data analysts." (Debasis Sengupta, Sankhya, Vol. 65 (4), 2003) "The topic of this monograph is the use of certain types of regression diagnostics, based on a robust forward search … . the monograph is absolutely worth reading. … The monograph is set up in a very instructive manner … . The material is treated in a clear way, the book is very well written and understandable. Summarizing, this monograph can be recommended to readers who want to learn … about the process of modeling in regression … ." (C. Becker, Metrika, July, 2002) "This book presents highly informative graphical methods to understand how a fitted regression model depends on … observations. … The book is intended to be accessible to students and practitioners, and … provides useful material for professional statisticians. … An S-Plus library of functions for implementing many of the methods presented in the book is available … . This makes it very easy for anyone to apply the ideas … . the authors have made an important contribution to the field of regression … ." (Hariharan Iyer, Zentralblatt MATH, Vol. 964, 2001) "This very down-to-earth volume explores regression models via a ‘forward search’ technique … . Programming was done in GAUSS, and S-Plus functions have been developed. A web site provides programs and data … . These methods provide additional analysis techniques for regression practitioners, and the book is a welcome addition to the literature." (N. R. Draper, Short Book Reviews, Vol. 21 (1), 2001)