Regression Analysis By Example, 3e
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SAMPRIT CHATTERJEE, PhD, is Professor of Statistics at New York University. A well-known research scientist and Fulbright scholar, Dr. Chatterjee has coauthored Sensitivity Analysis in Linear Regression (with Dr. Hadi) and A Casebook for a First Course in Statistics and Data Analysis, both available from Wiley. ALI S. HADI, PhD, is the Stephen H. Weiss Presidential Fellow and Professor of Statistical and Computing Sciences at Cornell University. The author/coauthor of three other books, Dr. Hadi is a Fellow of the American Statistical Association and an elected member of the International Statistical Institute. BERTRAM PRICE, PhD, is President of Price Associates, a consulting firm in Washington D.C. Dr. Price's experience spans both academia and business, including work as a business scientist at IBM, and he has served as an associate editor of The American Statistician.


Simple Linear Regression.

Multiple Linear Regression.

Regression Diagnostics: Detection of Model Violations.

Qualitative Variables as Predictors.

Transformation of Variables.

Weighted Least Squares.

The Problem of Correlated Errors.

Analysis of Collinear Data.

Biased Estimation of Regression Coefficients.

Variable Selection Procedures.

Logistic Regression.





"A textbook for students who have some background in statistics but are not specialists in it, and who use regression analysis quite extensively in their work. Students who are specializing in statistics might find it a useful balance..." (SciTech Book News, Vol. 24, No. 4, December 2000)

Overall, the material that is covered is an excellent introduction to a substantial collection of diagnostic tools that aid in uncovering hidden structures in one's data. I would recommend the book as an addition to any applied statistician's library. (Technometrics, Vol. 42, No. 4, May 2001)

This book is a thorough overview and introduction to regression analysis that is sensibly arranged and easy to read. Care has been taken to provide verbal explanations for quanitative and algebraic expressions, and to provide interpretations for statistical results and insights. (The Statistician, 50 (1), 2001)

"This book is a major rewriting and reorganization of previous editions. New material is added to reflect advances in the field." (Zentralblatt MATH, Vol. 946, No. 21)

"...a thorough overview of diagnostic tools for regression models that are sensibly arranged and easily understood..." (Statistical Methods in Medical Research, Vol.12, No.1, 2003)