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The Analysis of Cross-Classified Categorical Data by Stephen E. Fienberg 9780387728247
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The Analysis of Cross-Classified Categorical Data by Stephen E. Fienberg 9780387728247

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Description

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.
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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)





Book Information
ISBN 9780387728247
Author Stephen E. Fienberg
Format Paperback
Page Count 198
Imprint Springer-Verlag New York Inc.
Publisher Springer-Verlag New York Inc.

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Praise for the Second Edition "A must-have book for anyone expecting to do research and/or applications in categorical data analysis." -Statistics in Medicine "It is a total delight reading this book...
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