Robust Regression and Outlier Detection
Language: English
Published by John Wiley and Sons Ltd, 1987
Series: Book 102 of 358 - Wiley Series in Probability and Statistics
- Hardcover
- Used
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.World of Books (was SecondSale)
AbeBooks seller since December 20, 2007
Condition: Used - Very good
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Add to basketItem description from seller
Provides an applications-oriented introduction to robust regression and outlier detection, emphasising -high-breakdown- methods which can cope with a sizeable fraction of contamination. Its self-contained treatment allows readers to skip the mathematical material which is concentrated in a few sections. Exposition focuses on the least median of squares technique, which is intuitive and easy to use, and many real-data examples are given. Chapter coverage includes robust multiple regression, the special case of one-dimensional location, algorithms, outlier diagnostics, and robustness in related fields, such as the estimation of multivariate location and covariance matrices, and time series analysis.
Seller Inventory # 00110802710
- Title
- Robust Regression and Outlier Detection
- Author
- Peter J Rousseeuw
- Publisher
- John Wiley and Sons Ltd
- Publication year
- 1987
- Condition
- Very Good
- Binding
- Hardback
- Language
- English
- ISBN 10
- 0471852333
- ISBN 13
- 9780471852339
- Series
- Book 102 of 358: Wiley Series in Probability and Statistics
"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.
World of Books (was SecondSale)
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