Introduction to Robust Estimation and Hypothesis Testing

Introduction to Robust Estimation and Hypothesis Testing

5th Edition - September 18, 2021

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  • Author: Rand Wilcox
  • eBook ISBN: 9780128200995
  • Paperback ISBN: 9780128200988

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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.

Key Features

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


Advanced UG / graduate students in mathematics and applied courses; Researchers/Professionals; Robust Statistics, Robust Methods in Statistics

Table 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

Product details

  • No. of pages: 928
  • Language: English
  • Copyright: © Academic Press 2021
  • Published: September 18, 2021
  • Imprint: Academic Press
  • eBook ISBN: 9780128200995
  • Paperback ISBN: 9780128200988

About the Author

Rand Wilcox

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.

Affiliations and Expertise

University of Southern California, USA

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