Download or Read online Introduction to Robust Estimation and Hypothesis Testing full in PDF, ePub and kindle. this book written by Rand R. Wilcox and published by Academic Press which was released on 18 September 2021 with total page 928 pages. We cannot guarantee that Introduction to Robust Estimation and Hypothesis Testing book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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
Introduction to Robust Estimation and Hypothesis Testing
- Author : Rand R. Wilcox
- Publisher : Academic Press
- Pages : 928 pages
- ISBN : 0128200995
- Release : 18 September 2021
- Rating : /5 from reviews