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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Fienberg, Stephen E. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2007.
Edición:2nd ed. 2007.
Temas:
Acceso en línea:Texto Completo

MARC

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505 0 |a 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. 
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. 
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