Categorical Data Analysis Using SAS, Third Edition, 3rd Edition

Chapter 7

Nonparametric Methods

Contents

7.1   Introduction

7.2   Kruskal-Wallis Test

7.3   Friedman's Chi-Square Test

7.4   Aligned Ranks Test for Randomized Complete Blocks

7.5   Analyzing Incomplete Data

7.6   Rank Analysis of Covariance

7.1 Introduction

Parametric methods of statistical inference require you to assume that your data come from some underlying distribution whose general form is known, such as the normal, binomial, Poisson, or Weibull distribution. Statistical methods for estimation and hypothesis testing are then based on these assumptions. The focus is on estimating parameters and testing hypotheses about them.

In contrast, nonparametric statistical methods make few assumptions about the underlying distribution from which ...