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ANALYZING CATEGORICAL DATA WITH GRAPHICAL MODELS - A SOCIAL SCIENCE APPLICATION -

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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ANALYZING CATEGORICAL DATA WITH GRAPHICAL MODELS - A SOCIAL SCIENCE APPLICATION -

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    1. 1 ANALYZING CATEGORICAL DATA WITH GRAPHICAL MODELS - A SOCIAL SCIENCE APPLICATION - Renáta Németh 1, Tamás Rudas 2, Wicher Bergsma 3 1 nmthrnt@freemail.hu. Department of Statistics, Faculty of Social Sciences, Eötvös Loránd University 2 rudas@tarki.hu. Department of Statistics, Faculty of Social Sciences, Eötvös Loránd 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)

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