Introduction to Robust Estimation and Hypothesis Testing (Paperback)

Rand R. Wilcox

ISBN 10: 0128200987 / ISBN 13: 9780128200988

Published by Elsevier Science Publishing Co Inc, San Diego, 2022

About this Item

Paperback. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9780128200988

Bibliographic Details

• Title: Introduction to Robust Estimation and Hypothesis Testing (Paperback)
• Publisher: Elsevier Science Publishing Co Inc, San Diego
• Publication Date: 2022
• Language: English
• ISBN 10: 0128200987
• ISBN 13: 9780128200988
• Binding: Paperback
• Edition: 5th or later Edition
• Condition: new

About this title

Synopsis

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

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.