Introduction to Robust Estimation and Hypothesis Testing

Provides an explanation of the foundation of robust methods, incorporating R and S-Plus, robust ANOVA (Analysis of Variance) and regression. This work focuses on the practical applications of robust methods. It covers developments in robust regression, and improvements in ANOVA. It also includes ran [...]
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Provides an explanation of the foundation of robust methods, incorporating R and S-Plus, robust ANOVA (Analysis of Variance) and regression. This work focuses on the practical applications of robust methods. It covers developments in robust regression, and improvements in ANOVA. It also includes rank-based methods.