The Analysis of Cross-Classified Categorical Data [electronic resource] /
Fienberg, Stephen E.author.
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.
Description based upon print version of record.
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.
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.
Statistics .
Statistical Theory and Methods.