The Analysis of Cross-Classified Categorical Data

by Stephen E. Fienberg

Overview

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.

Product Details

ISBN-13:	9780387728247
Publisher:	Springer New York
Publication date:	07/30/2007
Edition description:	Second Edition 2007
Pages:	198
Product dimensions:	5.83(w) x 8.27(h) x 0.36(d)

Table of Contents

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.

Editorial Reviews

From the reviews of the second edition:

"This is a great book on the analysis of cross-classified categorical data, particularly for non-statistical readers. The need for analyzing cross-classified categorical data has been growing rapidly … . The loglinear models and maximum-likelihood estimates discussed in this book are very helpful for practitioners to get hands on categorical data and perform sound analyses. This book is comprised of 8 chapters. … is a useful book and I recommend it to data analysts in practical and academic fields." (Zhen Mei, Zentralblatt MATH, Vol. 1134 (12), 2008)

"This Springer edition is a reprint of the first edition published by MIT Press in 1977. … this a useful resource book for applied statisticians with good theoretical background." (Technometrics, Vol. 50 (4), November, 2008)

From the Publisher