- Hardcover: 320 pages
- Publisher: Wiley-Blackwell (29 April 1981)
- Language English
- ISBN-10: 0471418056
- ISBN-13: 978-0471418054
- Product Dimensions: 22.9 x 15.2 x 2.5 cm
- Amazon Bestsellers Rank: 1,945,167 in Books (See Top 100 in Books)
- See Complete Table of Contents
Robust Statistics
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“…informative and worth the effort for anyone with an interest in this field...” (ISCB News 38, December 2004)
--This text refers to an out of print or unavailable edition of this title.
Product Description
The first systematic, book–length treatment of the subject. Begins with a general introduction and the formal mathematical background behind qualitative and quantitative robustness. Stresses concepts. Provides selected numerical algorithms for computing robust estimates, as well as convergence proofs. Tables contain quantitative robustness information for a variety of estimates.
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First Sentence
Statistical inferences are based only in part upon the observations. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Statistical inferences are based only in part upon the observations. Read the first page
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Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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2 reviews
28 of 30 people found the following review helpful
classic early text on robust methods
24 Jan 2008
Format:Hardcover
In the 1970s Peter Huber was one of the innovative geniuses that developed the area of robust statistical methods. After the famous Princeton robustness study that Huber participated in there was a scattered set of techniques that were shown to be robust estimators of location based on simulations over wide classes of probability distributions. Huber and Hampel were the leaders at putting together some mathematical theory for robustness.
This book was the first attempt to unify the mathematical ideas into a general theory. It is intended for research statisticians and is a masterpiece for the subject. There are now other good books of a more practical nature. Huber also wrote a nice monograph in the SIAM series around the same time. It is now 20 years since the publication of the book and it perhaps deserves to be recognized by republication as a Wiley Classic.
This book was the first attempt to unify the mathematical ideas into a general theory. It is intended for research statisticians and is a masterpiece for the subject. There are now other good books of a more practical nature. Huber also wrote a nice monograph in the SIAM series around the same time. It is now 20 years since the publication of the book and it perhaps deserves to be recognized by republication as a Wiley Classic.
7 of 8 people found the following review helpful
Solid foundation in robust statistics
9 Jun 2003
Format:Hardcover
If you need clear explanations about robust statistics, if you need ideas to perform robust regression, or if you need some ground to develop robust algorithms, all you need is this text, and only this text. It covers theoretical as well as practical aspects of robust statistics. If you need more modern theoretical materials on robust statistics, Rieder's Asymptotic Robust Statistics is the companion text.
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