The analysis of cross-classified categorical data

  title={The analysis of cross-classified categorical data},
  author={Stephen E. Fienberg},
The second edition has been updated and revised, with more emphasis on logic and logistic response properties and on the small-sample behavior of chi-square statistics. It includes 40 to 50 new problems with most having separate data sheets. A solutions manual is available to qualified instructors. In addition, some minor revisions in early chapters have been added to clarify such terms as order categories and collapsing. 

Applying R 2 -Type measures to ordered categorical data

The concentration and entropy measures for categorical data tend to be highly dependent on the choice of response categories. If the categorization of the response variable is arbitiary but it is

Selection of models in contingency tables: A reexamination

Qualitative data often need analysis using log-linear models, as pointed out by Liu and Sanders. In this article, references to the state-of-the-art literature and software packages for analyzing

Introduction to the Statistical Analysis of Categorical Data

This book deals with the analysis of categorical data. Statistical models, especially log-linear models for contingency tables and logistic regression, are described and applied to real life data.

A Survey of Strategies for Modeling Cross-Classifications Having Ordinal Variables

Abstract A survey is given of the main strategies for modeling cross-classifications that contain ordinal variables. Models are described for two-way tables in which one or both classifications are

Alternative models for ordinal logistic regression.

A third type of ordinal logistic model is described, the stereotype model, which in certain situations offers greater flexibility coupled with interpretational advantages and is illustrated in an analysis of pneumoconiosis among coal miners.


Frequently in practice, there is uncertainty about the stability of the finite sample behavX 2 ior of Pearson-Fisher's statistic with regard 2 to the X approximation. We describe a method for

On extending bock's model of logistic regression in the analysis of categorical data

A general class of multiple logistic regression models is reviewed and an extension is proposed which leads to restricted maximum likelihood estimates of model parameters. Examples of thegeneral

On the decomposition of X2 for two-way contingency tables

When samples are taken independently from I populations and the subjects classified into J categories, can the Pearson's chisquare statistic X2 testing the homogeneity model on the resulting I×J

Adjustment of rates using multiplicative models

By the conception of an underlying multiplicative model for cross-classified data, a statistical method for the adjustment of rates is suggested. This method rests upon the multiplicative definition