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

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...

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Bibliographic Details
Main Author: Brunner, Edgar (Author)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing, 2018.
Edition:1st ed. 2018.
Series:Springer Series in Statistics,
Subjects:
Statistics .
Biostatistics.
Pharmaceutical technology.
ISBN:9783030029142
ISSN:0172-7397
Online Access: Get full text
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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. .

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