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

2nd ed. 2007.
出版者 New York, NY : Springer New York : Imprint: Springer
出版年 2007
本文言語 英語
大きさ XIV, 198 p : online resource
著者標目 *Fienberg, Stephen E author
SpringerLink (Online service)
件 名 LCSH:Statistics 
FREE:Statistical Theory and Methods
一般注記 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
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
HTTP:URL=https://doi.org/10.1007/978-0-387-72825-4
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Springer eBooks 9780387728254
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EB00237133

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データ種別 電子ブック
分 類 LCC:QA276-280
DC23:519.5
書誌ID 4000115241
ISBN 9780387728254

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