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More About This Title Regression Analysis By Example, 3e
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.
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)