Robust regression and outlier detection

Peter J. Rousseeuw, Annick M. Leroy

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "The writing style is clear and informal, and much of the discussion is oriented to application. In short, the book is a keeper." -Mathematical Geology "I would highly recommend the addition of this book to the libraries of both students and professionals. It is a useful textbook for the graduate student, because it emphasizes both the philosophy and practice of robustness in regression settings, and it provides excellent examples of precise, logical proofs of theorems...Even for those who are familiar with robustness, the book will be a good reference because it consolidates the research in high-breakdown affine equivariant estimators and includes an extensive bibliography in robust regression, outlier diagnostics, and related methods. The aim of this book, the authors tell us, is 'to make robust regression available for everyday statistical practice.' Rousseeuw and Leroy have included all of the necessary ingredients to make this happen." -Journal of the American Statistical Association

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[目次]

  • 1. Introduction. 2. Simple Regression. 3. Multiple Regression. 4. The Special Case of One-Dimensional Location. 5. Algorithms. 6. Outlier Diagnostics. 7. Related Statistical Techniques. References. Table of Data Sets. Index.

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この本の情報

書名 Robust regression and outlier detection
著作者等 Leroy, Annick M.
Rousseeuw, Peter J.
シリーズ名 Wiley series in probability and mathematical statistics
出版元 Wiley-Interscience
刊行年月 c2003
ページ数 xiv, 329 p.
大きさ 23 cm
ISBN 9780471488552
NCID BA64538145
※クリックでCiNii Booksを表示
言語 英語
出版国 アメリカ合衆国
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