Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
Rousseeuw, Peter J.; Leroy, Annick M.
Language: English
Published by Wiley (edition 1), 1987
Series: Book 102 of 358 - Wiley Series in Probability and Statistics
- Hardcover
- Used

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The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
Seller Inventory # 0471852333-7-1
- Title
- Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
- Author
- Rousseeuw, Peter J.; Leroy, Annick M.
- Publisher
- Wiley (edition 1)
- Publication year
- 1987
- Condition
- Fair
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471852333
- ISBN 13
- 9780471852339
- Edition
- 1.
- Series
- Book 102 of 358: Wiley Series in Probability and Statistics
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
"Synopsis" may belong to another edition of this title.
From the Back Cover
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
"About the title" may belong to another edition of this title.
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