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Graphical Methods for Hierarchical Log-Linear Models
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 Title & Authors
Graphical Methods for Hierarchical Log-Linear Models
Hong, Chong-Sun; Lee, Ui-Ki;
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Most graphical methods for categorical data can describe the structure of data and represent a measure of association among categorical variables. Among them the polyhedron plot represents sequential relationships among hierarchical log-linear models for a multidimensional contingency table. This kind of plot could be explored to describe the differences among sequential models. In this paper we suggest graphical methods, containing all the information, that reflect the relationship among all log-linear models in a certain hierarchical structure. We use the ideas of a correlation diagram.
Goodness of fit;hierarchical model;likelihood ratio statistics;log-linear model;measure of association;odds ratio;
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