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Introduction to robust estimation and hypothesis testing. 2nd ed. (English) Zbl 1113.62036
Statistical Modeling and Decision Science. Amsterdam: Elsevier/Academic Press (ISBN 0-12-751542-9/hbk). xix, 588 p. (2005).
The first edition appeared in 1997; see [Zbl 0991.62508].
Publisher’s description: This revised book provides a thorough explanation of the foundations of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing the new methods in a historical context. It includes chapter exercises and many real-world examples that illustrate how various methods perform in different situations.
This second edition focuses on the practical applications of modern, robust methods which can greatly enhance our chances of detecting true differences among groups and true associations among variables.

MSC:
62-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics
62F35 Robustness and adaptive procedures (parametric inference)
62F10 Point estimation
62F03 Parametric hypothesis testing
62J10 Analysis of variance and covariance (ANOVA)
Citations:
Zbl 0991.62508
Software:
S-PLUS; R
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