Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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A Model Comparison Method for Hierarchical Loglinear Models

  • Hyun Jip Choi (Lecturer, Department of Applied Statistics, Kyonggi University, Paldal Gu, Suwon, 440-760, Korea) ;
  • Chong Sun Hong (Associate Professor, Department of Statistics, Sung Kyun Kwan University, Seoul, 110-745, Korea)
  • Published : 1996.12.01
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Abstract

A hierarchical loglinear model comparison method is developed which is based on the well kmown partitioned likelihood ratio statistiss. For any paels, we can regard the difference of the geedness of fit statistics as the variation explained by a full model, and develop a partial test to compare a full model with a reduced model in that hierarchy. Note that this has similar arguments as that of the regression analysis.

Keywords

References

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