Introduction to Robust Estimation and Hypothesis TestingThis revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and SPlus, 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 realworld 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.

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Contents
1 Introduction  1 
2 A Foundation for Robust Methods  23 
3 Estimating Measures of Location and Scale  43 
4 Confidence Intervals in the OneSample Case  103 
5 Comparing Two Groups  137 
6 Some Multivariate Methods  215 
7 OneWay and Higher Designs for Independent Groups  291 