Regression Analysis by Example, Fourth Edition
About this book
Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgement. Regression Analysis by Example, Fourth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The book offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression.
This new edition features the following enhancements:
- Chapter 12, Logistic Regression, is expanded to
reflect the increased use of the logit models in statistical analysis
- A new chapter entitled Further Topics discusses advanced areas of regression
analysis
- Reorganized, expanded, and upgraded exercises appear
at the end of each chapter
- A fully integrated Web page provides
data sets
- Numerous graphical displays highlight the significance
of visual appeal
Regression Analysis by Example, Fourth Edition is suitable for anyone with an understanding of elementary statistics. Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions of the techniques themselves, the required assumptions, and the evaluated success of each technique. The methods described throughout the book can be carried out with most of the currently available statistical software packages, such as the software package R.
An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
Reviews
"This book is now well established as an excellent source of examples for regression analysis. It has been and still is readily readable and understandable to those with a minimum of data analytic experience … It is an excellent source of information and example analyses concerning regression modeling for the beginning to moderately trained data analyst." (Journal of the American Statistical Association, March 2009)
"I would like to have the new edition on my desk and suggest you do as well!" (Technometrics, May 2007)
"…I would recommend this book for all students…interested in regression modeling…" (MAA Reviews, December 12, 2006)
Author Bios
ALI S. HADI, PHD, is Vice Provost and Professor of Mathematical, Statistical, and Computing Sciences at The American University in Cairo. He is also a Stephen H. Weiss Presidential Fellow and Professor Emeritus at Cornell University. Dr. Hadi is the author/co-author of four other books, a Fellow of the American Statistical Association, and an elected member of the International Statistical Institute.