Researchers in fields ranging from biology and medicine to the social sciences, law, and economics regularly encounter variables that are discrete or categorical in nature. While there is no dearth of books on the analysis and interpretation of such data, these generally focus on large sample methods. When sample sizes are not large or the data are

chapter 1|28 pages

Discrete Distributions

chapter 2|26 pages

One-Sided Univariate Analysis

chapter 3|32 pages

Two-Sided Univariate Analysis

chapter 4|30 pages

Computing Fundamentals

chapter 5|42 pages

Elements of Conditional Analysis

chapter 6|30 pages

Two 2 × 2 Tables

chapter 7|38 pages

Assessing Inference

chapter 8|26 pages

Several 2 × 2 Tables: I

chapter 9|26 pages

Several 2 × 2 Tables: II

chapter 10|44 pages

The 2 × K Table

chapter 11|26 pages

Polynomial Algorithms: I

chapter 12|28 pages

Polynomial Algorithms: II

chapter 13|38 pages

Multinomial Models

chapter 14|34 pages

Matched and Dependent Data

chapter 15|36 pages

Reflections On Exactness