The analysis of cross-classified categorical data

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 present...

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Bibliographic Details
Main Author: Fienberg, Stephen E. (Author)
Format: Book
Published: New York, NY Springer 2007
©2007
Edition:Second Edition
Subjects:
Online Access:Click Here to View Status and Holdings.
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090 0 0 |a QA278  |b .F53 2007 
100 1 # |a Fienberg, Stephen E.  |e author 
245 1 4 |a The analysis of cross-classified categorical data  |c Stephen E. Fienberg 
250 # # |a Second Edition 
264 # 1 |a New York, NY  |b Springer  |c 2007 
264 # 1 |c ©2007 
300 # # |a xiii, 198 pages  |b illustrations  |c 24 cm 
336 # # |a text  |2 rdacontent 
337 # # |a unmediated  |2 rdamedia 
338 # # |a volume  |2 rdacarrier 
500 # # |a Originally published 2nd ed Cambridge, Mass. MIT Press, c1980 
504 # # |a Includes bibliographical references (page 177-190) and index 
520 # # |a 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. 
650 # 0 |a Contingency tables 
650 # 0 |a Log-linear models 
650 # 0 |a Multivariate analysis 
856 4 0 |z Click Here to View Status and Holdings.  |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=383528 
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