Introduction to Robust Estimation and Hypothesis Testing

This revised book provides an ANOVA (Analysis of Variance) and regression robust methods on the R and S-Plus. It guides the students and other professionals in the context of the future. Author Rand Wilcox includes a series of exercises and exercises in different situations.

Introduction to Robust Estimation and Hypothesis Testing, Second Edition, on the basis of variables and groups.

* Covers the latest developments in robust regression
* Covers latest improvements in ANOVA
* Includes newest rank-based methods
* Describes and illustrated easy to use software

Preface
1. Introduction
2. A Foundation for Robust Methods
3. Estimating Measures of Location and Scale
4. Confidence Intervals in the One-Sample Case
5. Comparing Two Groups
6. Some Multivariate Methods
7. One-Way and Higher Designs for Independent Groups 8. Comparing Multiple Dependent Groups
9. Correlation and Tests of Independence
10. Robust Regression
11. More Regression Methods