The Analysis of Cross-Classified Categorical Data

verfasst von: Stephen E. Fienberg

Verlag: Springer New York

Enthalten in: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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Über dieses Buch

A variety of biological and social science data come in the form of cross-classified tables of counts, commonly referred to as contingency tables. Until recent years the statistical and computational techniques available for the analysis of cross-classified data were quite limited. This book presents some of the recent work on the statistical analysis of cross-classified data using longlinear models, especially in the multidimensional situation.

Inhaltsverzeichnis

Frontmatter

1. Introduction

2. Two-Dimensional Tables

3. Three-Dimensional Tables

4. Selection of a Model

5. Four- and Higher-Dimensional Contingency Tables

6. Fixed Margins and Logit Models

7. Causal Analysis Involving Logit and Loglinear Models

8. Fixed and Random Zeros

Backmatter

Titel: The Analysis of Cross-Classified Categorical Data
verfasst von: Stephen E. Fienberg
Verlag: Springer New York
Electronic ISBN: 978-0-387-72825-4
Print ISBN: 978-0-387-72824-7
DOI: https://doi.org/10.1007/978-0-387-72825-4