The Analysis of Cross-Classified Categorical Data by Stephen E Fienberg

The Analysis of Cross-Classified Categorical Data by Stephen E Fienberg

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.

From the reviews of the second edition:

"This is a great book on the analysis of cross-classified categorical data, particularly for non-statistical readersThe 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)

SKU	Unavailable
ISBN 13	9780387728247
ISBN 10	0387728244
Title	The Analysis of Cross-Classified Categorical Data
Author	Stephen E.Fienberg
Condition	Unavailable
Binding Type	Paperback
Publisher	Springer-Verlag New York Inc.
Year published	2007-07-30
Number of pages	198
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
Note	Unavailable