Introduction to Robust Estimation and Hypothesis Testing:

This revised book provides a thorough explanation of the foundation 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...

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Bibliographic Details
Main Author: Wilcox, Rand R. (Author)
Format: Electronic eBook
Language:English
Published: St. Louis Elsevier Science 2011
Edition:3rd ed
Series:Statistical Modeling and Decision Science
Subjects:
Summary:This revised book provides a thorough explanation of the foundation 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 historical context. Author Rand Wilcox includes chapter exercises and many real-world examples that illustrate how various methods perform in different situations. Introduction to Robust Estimation and Hypothesis Testing, 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. Covers latest developments in robust regression Covers latest improvements in ANOVA Includes newest rank-based methods Describes and illustrated easy to use software
Item Description:Description based on publisher supplied metadata and other sources
Physical Description:1 online resource (713 pages)
ISBN:9780123870155
9780123869838

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