Introduction to Robust Estimation and Hypothesis Testing (Google eBook)

Front Cover
Academic Press, Dec 14, 2011 - Mathematics - 608 pages
0 Reviews
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
  

What people are saying - Write a review

We haven't found any reviews in the usual places.

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
8 Comparing Multiple Dependent Groups
379
9 Correlation and Tests of Independence
441
10 Robust Regression
471
11 More Regression Methods
533
References
631
Index
687
Copyright

Common terms and phrases

Bibliographic information