Robust Statistics: Theory and Methods
Language: English
Published by Wiley, 2006
- Hardcover
- Used
Seller: World of Books Inc, Montgomery, IL, U.S.A.World of Books Inc
AbeBooks seller since March 23, 2026
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Add to basketItem description from seller
Robust Statistics fills the need for a solid, up-to-date text that presents a broad overview of the theory of robust statistics, integrated with applications and computing. The book features in-depth coverage of the key methodology, including regression, multivariate analysis, and time series.
Seller Inventory # CIN0470010924G
- Title
- Robust Statistics: Theory and Methods
- Author
- Ricardo A Maronna
- Publisher
- Wiley
- Publication year
- 2006
- Condition
- Good
- Binding
- Hardback
- Language
- English
- ISBN 10
- 0470010924
- ISBN 13
- 9780470010921
Robust Statistics sets out to explain the use of robust methods and their theoretical justification. It provides an up-to-date overview of the theory and practical application of the robust statistical methods in regression, multivariate analysis, generalized linear models and time series. This unique book:
- Enables the reader to select and use the most appropriate robust method for their particular statistical model.
- Features computational algorithms for the core methods.
- Covers regression methods for data mining applications.
- Includes examples with real data and applications using the S-Plus robust statistics library.
- Describes the theoretical and operational aspects of robust methods separately, so the reader can choose to focus on one or the other.
- Supported by a supplementary website featuring time-limited S-Plus download, along with datasets and S-Plus code to allow the reader to reproduce the examples given in the book.
Robust Statistics aims to stimulate the use of robust methods as a powerful tool to increase the reliability and accuracy of statistical modelling and data analysis. It is ideal for researchers, practitioners and graduate students of statistics, electrical, chemical and biochemical engineering, and computer vision. There is also much to benefit researchers from other sciences, such as biotechnology, who need to use robust statistical methods in their work.
"Synopsis" may belong to another edition of this title.
About the Author
Doug Martin is a Professor in the Department of Statistics, and Director of the Computational Finance Program at the University of Washington in Seattle, Washington. He was a consultant at Bell Laboratories for many years, and author of numerous research articles on robust methods for time series. Martin founded the original S-PLUS company Statistical Sciences, Inc., and led the development of the S-PLUS Robust Statistics Library.
Victor Yohai, is a Professor in the Department of Mathematics, Faculty of Exact and Natural Sciences, University of Buenos Aires, Argentina, and researcher at CONICET. He is the author of a large number of important research articles on robust statistics, in particular on regression and time series. Several of the procedures proposed by him have been implemented in the robust library of S-PLUS.
"About the title" may belong to another edition of this title.
World of Books Inc
Montgomery, IL, U.S.A.
AbeBooks seller since March 23, 2026
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