Introduction to Robust Estimation and Hypothesis Testing
5th Edition
Published on 18. September 2021
928 pages
978-0-12-820099-5 (ISBN)
Description
Introduction to Robust Estimating and Hypothesis Testing, Fifth Edition is a useful 'how-to' on the application of robust methods utilizing easy-to-use software. This trusted resource provides an overview of modern robust methods, including improved techniques for dealing with outliers, skewed distribution curvature, and heteroscedasticity that can provide substantial gains in power. Coverage includes techniques for comparing groups and measuring effect size, current methods for comparing quantiles, and expanded regression methods for both parametric and nonparametric techniques. The practical importance of these varied methods is illustrated using data from real world studies. Over 1700 R functions are included to support comprehension and practice.
- Includes the latest developments in robust regression
- Provides many new, improved and accessible R functions
- Offers comprehensive coverage of ANOVA and ANCOVA methods
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Rand R. Wilcox
Introduction to Robust Estimation and Hypothesis Testing
Book
02/2022
5th Edition
Academic Press
€101.50
Shipment within 10-15 days
Person
Rand R. Wilcox has a Ph.D. in psychometrics, and is a professor of psychology at the University of Southern California. Wilcox's main research interests are statistical methods, particularly robust methods for comparing groups and studying associations. He also collaborates with researchers in occupational therapy, gerontology, biology, education and psychology. Wilcox is an internationally recognized expert in the field of Applied Statistics and has concentrated much of his research in the area of ANOVA and Regression. Wilcox is the author of 12 books on statistics and has published many papers on robust methods. He is currently an Associate Editor for four statistics journals and has served on many editorial boards. He has given numerous invited talks and workshops on robust methods.
Content
1. Introduction2. A Foundation for Robust Methods3. Estimating Measures of Location and Scale4. Confidence Intervals in the One-Sample Case5. Comparing Two Groups6. Some Multivariate Methods7. One-Way and Higher Designs for Independent Groups8. Comparing Multiple Dependent Groups9. Correlation and Tests of Independence10. Robust Regression11. More Regression Methods12. ANCOVA
