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This new edition of "Regression Methods" has been updated and enhanced to include all-new information on the latest advances and research in the evolving field of regression analysis. It 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.
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"The book is to be praised in that it makes the reader aware of alarge number of approaches to regression situations, and also totheir possible pitfalls. It is thus an excellent basis for anexperienced instructor to teach regression at different levels."(Springer, August 2010)
"This book, at the undergraduate level and even at the graduatelevel, will be rewarding reading for anyone interested in learningthe nuances of regression analysis." (Mathmatical Reviews,January 2010)
"The exercises are interesting and thought-provoking throughout.If you liked the first edition, you will be pleased with thisrevision also." (International Statistical Review, August2009)
"The book is well written and has many exercises. It can serveas a very good textbook for scientists and engineers, with onlybasic statistics as a prerequisite. I also highly recommend it topractitioners who want to solve real-life prediction problems."(Computing Reviews, July 2009)
"In this second edition, Ryan (author, editor, and educator)provides substantial updates and revisions of his popular text forstatisticians to include new information on the most currentadvances and research in regression analysis" (SciTechReviews, March 2009)
"One would be hard-pressed to find another text that rivals thisone in terms of coverage of the regression literature." (TheAmerican Statistician, 2009)
"I strongly recommend the book as a reference for anyoneteaching or using regression." (MAA Reviews, 2009)
"Highly recommended for those already trained in mathematics andstatistics who want a good guide to current practice and issues inmultiple regression techniques." (Journal of BiopharmaceuticalStatistics, 2009)
"This book, at the undergraduate level and even at the graduatelevel, will be rewarding reading for anyone interested in learningthe nuances of regression analysis." (Mathmatical Reviews,January 2010)
"The exercises are interesting and thought-provoking throughout.If you liked the first edition, you will be pleased with thisrevision also." (International Statistical Review, August2009)
"The book is well written and has many exercises. It can serveas a very good textbook for scientists and engineers, with onlybasic statistics as a prerequisite. I also highly recommend it topractitioners who want to solve real-life prediction problems."(Computing Reviews, July 2009)
"In this second edition, Ryan (author, editor, and educator)provides substantial updates and revisions of his popular text forstatisticians to include new information on the most currentadvances and research in regression analysis" (SciTechReviews, March 2009)
"One would be hard-pressed to find another text that rivals thisone in terms of coverage of the regression literature." (TheAmerican Statistician, 2009)
"I strongly recommend the book as a reference for anyoneteaching or using regression." (MAA Reviews, 2009)
"Highly recommended for those already trained in mathematics andstatistics who want a good guide to current practice and issues inmultiple regression techniques." (Journal of BiopharmaceuticalStatistics, 2009)