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2. Overview. 1. Marginal models2. Graphical models4. Application: the classic Duncan model and its modified version (1992, Czechoslovakia, Hungary, USA). 3. Graphical models for categorical data . }. 3. Marginal models. They impose restrictions on the marginal distributions of the contingency tab
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1. 1 ANALYZING CATEGORICAL DATA WITH GRAPHICAL MODELS- A SOCIAL SCIENCE APPLICATION - Renta Nmeth 1, Tams Rudas 2, Wicher Bergsma 3
1 nmthrnt@freemail.hu. Department of Statistics, Faculty of Social Sciences, Etvs Lornd University
2 rudas@tarki.hu. Department of Statistics, Faculty of Social Sciences, Etvs Lornd University,
3 W.P.Bergsma@lse.ac.uk. Department of Statistics, London School of Economics and Political Science
SMABS/EAM Conference
5 July 2006, Budapest
2. 2 Overview 1. Marginal models 2. Graphical models 4. Application: the classic Duncan model and its modified version (1992, Czechoslovakia, Hungary, USA)