Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)

3.75 avg rating
( 4 ratings by Goodreads )
 
9780471852339: Robust Regression and Outlier Detection (Wiley Series in Probability and Statistics)
View all copies of this ISBN edition:
 
 

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.

"synopsis" may belong to another edition of this title.

Review:

" a wonderful book about methods of identifying outliers and then developing robust regression." (J ournal of Statistical Computation and Simulation, July 2005)

From the Back Cover:

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

"About this title" may belong to another edition of this title.

Other Popular Editions of the Same Title

9780471488552: Robust Regression & Outlier Detection: 516 (Wiley Series in Probability and Statistics)

Featured Edition

ISBN 10: 0471488550 ISBN 13: 9780471488552
Publisher: Wiley-Interscience, 2003
Softcover

Top Search Results from the AbeBooks Marketplace

Stock Image

1.

Rousseeuw, Peter J., Leroy, Annick M.
Published by Wiley
ISBN 10: 0471852333 ISBN 13: 9780471852339
New Quantity available: 1
Seller:
GoldBooks
(Austin, TX, U.S.A.)

Book Description Wiley. Condition: new. Seller Inventory # think0471852333

More information about this seller | Contact this seller

Buy New
115.81
Convert currency

Add to Basket

Shipping: FREE
Within U.S.A.
Destination, rates & speeds
Stock Image

2.

Rousseeuw, Peter J., Leroy, Annick M.
Published by Wiley (1987)
ISBN 10: 0471852333 ISBN 13: 9780471852339
New Hardcover Quantity available: 2
Seller:
Save With Sam
(North Miami, FL, U.S.A.)

Book Description Wiley, 1987. Hardcover. Condition: New. Brand New!. Seller Inventory # VIB0471852333

More information about this seller | Contact this seller

Buy New
116.13
Convert currency

Add to Basket

Shipping: FREE
Within U.S.A.
Destination, rates & speeds