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Regression Analysis by Example (Wiley Series in Probability and Statistics) ハードカバー – 1999/11/15

英語版 Samprit Chatterjee (著), Ali S. Hadi (著), Bertram Price (著)

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Regression Analysis By Example Using R (Wiley Series in Probability and Statistics)
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Regression analysis provides 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, Third Edition explains the principles underlying exploratory data analysis, emphasizing data analysis rather than statistical theory. This is not just another edition of the book; it is a major rewriting and reorganization of the previous edition. The new edition is expanded and updated to reflect recent advances in the field, offering in-depth treatment of diagnostic plots, time series regression, multicollinearity, and logistic regression.

Suitable for anyone with an understanding of elementary statistics, Regression Analysis by Example, Third Edition illustrates methods of regression analysis, with examples containing the types of irregularities commonly encountered in the real world. 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. Each of the methods described can be carried out with most currently available statistical software packages.

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本の長さ

384ページ
言語

英語
出版社

Wiley-Interscience
発売日

1999/11/15
寸法

16.3 x 2.23 x 23.9 cm
ISBN-10

0471319465
ISBN-13

978-0471319467
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A variety of ideas and methods of regression analysis are explored with the aid of realistic examples that highlight the analysis of data and include irregularities similar to those encountered in practice. Recent advances in regression diagnostics are covered with emphasis on plots such as component plus residual, added variable, sequence, along with index plots for leverage and function. The authors utilize standard and some not so standard summary statistics on the basis of their intuitive appeal to demonstrate concepts. The majority of analyses described are available in software packages on the market today.

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"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)

登録情報

出版社 ‏ : ‎ Wiley-Interscience; 第3版 (1999/11/15)
発売日 ‏ : ‎ 1999/11/15
言語 ‏ : ‎ 英語
ハードカバー ‏ : ‎ 384ページ
ISBN-10 ‏ : ‎ 0471319465
ISBN-13 ‏ : ‎ 978-0471319467
寸法 ‏ : ‎ 16.3 x 2.23 x 23.9 cm

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4.7 8個の評価

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Bertram Price
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Samprit Chatterjee
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Abhijeet Deshpande

Excellent Book

2010年6月10日にアメリカ合衆国でレビュー済み

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Over the years, I have read many books on regression analysis. This book is one of the most lucidly written book on the subject. It achieves a fine balance between theoretical explanation and application of the method to real world problems. It requires some background knowledge, i.e. first college course of statistics, but it is not too dense. I am using this as a companion to a book on regression analysis by Douglas Montgomery (another excellent text). The best part is that the data and computer programs in SAS, R etc. are available on the UCLA website. All in all, a great resource.

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not a natural

Not easy but accessible

2009年12月22日にアメリカ合衆国でレビュー済み

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I used the first edition of this book (Chatterjee and Price, 1975) when I was a graduate student in the late '70's. The text was not as easy to read as the title might suggest, but it was much more accessible than commonly used alternatives, such as Johnston's introduction to econometrics and Draper and Smith's regression book. Chatterjee and Price's last chapter, however, seemed misplaced and was a bit of a mystery. It dealt with multicollinearity and leaned heavily on the work of a British statistician named Silvey. His prescription for dealing with multicollinearity was (to closely paraphrase) collect additional data in the direction of an eigenvalue that is small but not equal to zero. Fortunately, it was not necessary to master the last chapter to take nearly the full measure of Chatterjee and Price's offering.

In subsequent editions nothing quite so formidable as Silvey's account and prescripton has been included. The book remains accessible and informative. It includes useful examples, though for students of the social and behvaioral sciences, the examples may seem substantively unfamiliar. Nevertheless, the examples are understandable, and they do a reasonbly good job of clarifying the authors' explanations. My only concern is that some of the illustrative material inclued early in the book seems better served through use of time-series analysis rather than cross-sectional ordinary least squares, as applied by the authors.

Some readers may like the authors' intuitive approach to regression diagnostics. For example, rather than employ the usual formula to identify a Cook's Distance value that betokens an unduly influential observation, the authors' suggest visual examination of distributions of the Cook's Distance statistic to find unusually large values. I think their approach has merit, and I prefer it; I have found the simple formula used with Cook's Distance to be much too conservative, identifying as potentially troublesome observations that seem to me to be unproblematic. Nevertheless, others may find the authors' intuitive approach too informal.

For most readers who have had a first course in statistics, Regression Analysis by Example will be a useful book. Annoying typographical errors that were fairly numerous in the first printing have been corrected, and the authors, very much to their credit, respond promptly to emailed questions.

I have used the third edition of this venerable textbook, along with ancillary material on logistic and ordinal regression and generalized tobit, in teaching regression to graduate students in education. In spite of their initial trepidation, students responded favorably to the Chatterjee, Hadi, and Price's presentation, and were able to use multiple regression in analyzing data for theses and dissertations.

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Lei Li

Amazing

2013年11月13日にアメリカ合衆国でレビュー済み

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It looks like a new book! I just used it as my textbook and the content is very good. It helps me a lot.

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berkeleystudent

Very useful book!

2012年12月8日にアメリカ合衆国でレビュー済み

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Came on time and in great condition - can't wait to read it! Read from other reviews that it has some good examples!

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Sal

Very satisfied

2011年10月16日にアメリカ合衆国でレビュー済み

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The book arrived on time, excellent packaging and great condition. It has the new book smell I absolutely love! Highly recommend these sellers!

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Regression Analysis by Example (Wiley Series in Probability and Statistics) ハードカバー – 1999/11/15

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著者について

登録情報

著者について

Bertram Price

Samprit Chatterjee

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