COVID-19 Update: We are currently shipping orders daily. However, due to transit disruptions in some geographies, deliveries may be delayed. To provide all customers with timely access to content, we are offering 50% off Science and Technology Print & eBook bundle options. Terms & conditions.
Introduction to Robust Estimation and Hypothesis Testing - 2nd Edition - ISBN: 9780127515427, 9780080470535

Introduction to Robust Estimation and Hypothesis Testing

2nd Edition

Author: Rand Wilcox
Hardcover ISBN: 9780127515427
eBook ISBN: 9780080470535
Imprint: Academic Press
Published Date: 22nd December 2004
Page Count: 608
Sales tax will be calculated at check-out Price includes VAT/GST
Price includes VAT/GST

Institutional Subscription

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

Table of Contents

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


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.

Key Features

  • Covers latest developments in robust regression
  • Covers latest improvements in ANOVA
  • Includes newest rank-based methods
  • Describes and illustrated easy to use software


Advanced graduate students interested in applying cutting-edge methods for analyzing data. Also, any applied researcher who uses ANOVA or regression will benefit. A typical course would be Quantitative Methods found in Mathematics, Economics, Health and Biological Sciences and Psychology departments.


No. of pages:
© Academic Press 2005
22nd December 2004
Academic Press
Hardcover ISBN:
eBook ISBN:


"...Wilcox has greatly enhanced this book, which is now almost twice as large as the first edition. This would now seem to be a good book for everyone to have in their library." -TECHNOMETRICS, VOL. 47, 2005

Ratings and Reviews

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