Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs Using R and SAS /

• Main Authors: Brunner, Edgar (Author, http://id.loc.gov/vocabulary/relators/aut), Bathke, Arne C. (http://id.loc.gov/vocabulary/relators/aut), Konietschke, Frank (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Springer Series in Statistics,
• Subjects: Statistics .; Biostatistics.; Pharmaceutical technology.; Statistics for Life Sciences, Medicine, Health Sciences.; Pharmaceutical Sciences/Technology.; Statistical Theory and Methods.

This book explains how to analyze independent data from factorial designs without having to make restrictive assumptions, such as normality of the data, or equal variances. The general approach also allows for ordinal and even dichotomous data. The underlying effect size is the nonparametric relativ...

Table of Contents:

• 1 Types of Data and Designs
• 2 Distributions and Effects
• 3 Two Samples
• 4 Several Samples
• 5 Two-Factor Crossed Designs
• 6 Designs with Three and More Factors
• 7 Derivation of Main Results
• 8 Mathematical Techniques
• References
• A Software and Program Code
• B Data Sets and Descriptions
• Index. .