The Analysis of Cross-Classified Categorical Data

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.

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.

Originally published in 1980, this book has sold more than 10,000 copies Includes supplementary material: sn.pub/extras

Contenu
Two-Dimensional Tables.- Three-Dimensional Tables.- Selection of a Model.- Four- and Higher-Dimensional Contingency Tables.- Fixed Margins and Logit Models.- Causal Analysis Involving Logit and Loglinear Models.- Fixed and Random Zeros.