GOOD: This large softcover book shows the usual signs of use and shelf wear, but the binding is tight and the heavy, glossy pages (printed in color) are clean.
Product Details
From the back cover: "Visualizing Categorical Data , by Michael Friendly, offers many new and more easily accessible graphical methods for representing categorical data using SAS® software. Graphical methods for quantitative data are well developed and widely used. However, until now with this comprehensive treatment, few graphical methods existed for categorical data. In this innovative book, Michael presents many aspects of the relationships among variables, the adequacy of a fitted model, and possibly unusual features of the data that can best be seen and appreciated in an informative graphical display. Filled with programs and datasets, this book focuses on the use, understanding, and interpretation of results. Where necessary, the statistical theory with a well-written explanation is also provided. Readers will also appreciate the implementation of these methods in general macros and programs that are described in the book."
BRIEF CONTENTS
Preface
Chapter 1: Introduction
Chapter 2: Fitting and Graphing Discrete Distributions
