Introduction to robust estimation and hypothesis testing / Rand Wilcox.

Format:

Book

Author/Creator:

Wilcox, Rand R.

Series:

Statistical Modeling and Decision Science

Language:

English

Subjects (All):

Estimation theory.

Robust statistics.

Statistical hypothesis testing.

Physical Description:

1 online resource (713 p.)

Edition:

3rd ed.

Place of Publication:

Amsterdam ; Boston : Academic Press, 2012.

Language Note:

English

Summary:

"This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems with standard methods that seemed insurmountable only a few years ago"-- Provided by publisher.

Contents:

Machine generated contents note: 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.

Notes:

Description based upon print version of record

Includes bibliographical references and index.

ISBN:

1-283-39408-1

9786613394088

0-12-387015-1

OCLC:

775872063