The Analysis of Cross-Classified Categorical Data
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Beschreibung
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
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.
Autor*in
Stephen E. Fienberg
Themen in »The Analysis of Cross-Classified Categorical Data«
Logit categorical data analysis contingency tables log-linear models logistic regression models
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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)
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