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The Analysis of Cross-Classified Categorical Data

Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9780387728254
Veröffentl:
2007
Seiten:
198
Autor:
Stephen E. Fienberg
Serie:
Springer
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:

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.
"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. TOC:Introduction.- 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 zeroes."
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.

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