Introduction to Robust Estimation and Hypothesis Testing

Includes the latest developments in robust regression Provides many new, improved and accessible R functions Offers comprehensive coverage of ANOVA and ANCOVA methods

List of contents

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
12. ANCOVA

About the author

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.

Product details

• Authors: Rand (University of Southern California Wilcox, Rand R Wilcox, Rand R. Wilcox, Rand R. (University of Southern California Wilcox, Wilcox Rand R.
• Publisher: Elsevier
• Languages: English
• Product format: Paperback / Softback
• Released: 28.02.2022
• EAN: 9780128200988
• ISBN: 978-0-12-820098-8
• Dimensions: 191 mm x 235 mm x 34 mm
• Weight: 1500 g
• Illustrations: 120 illustrations (20 in full color), Illustrationen, nicht spezifiziert
• Series: Statistical Modeling and Decision Science
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; MATHEMATICS / Probability & Statistics / General, Probability & statistics, Probability and statistics