Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Graphical Methods for Hierarchical Log-Linear Models

  • Hong, Chong-Sun (Department of Statistics, Sungkyunkwan University) ;
  • Lee, Ui-Ki (Research Institute of Applied Statistics, Sungkyunkwan University)
  • Published : 2006.12.31
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Abstract

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.

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References

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