Separation of symmetry for square tables with ordinal categorical data

被引：0
|
作者：
Kouji Tahata
机构：
[1] Tokyo University of Science,Department of Information Sciences, Faculty of Science and Technology
来源：
Japanese Journal of Statistics and Data Science | 2020年 / 3卷
关键词：
-Divergence; Marginal homogeneity; Moment equality; Quasi-symmetry; 62H17;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The present paper considers a model that indicates the structure of asymmetry for cell probabilities for square contingency tables with ordered categories. The model is the closest to the symmetry model in terms of the f-divergence under certain conditions and incorporates existing asymmetry models in special cases. A theorem that the symmetry model can be separated into two models which have weaker restrictions than the symmetry model is given. Also, a property between test statistics for goodness of fit is discussed.
引用
收藏
页码：469 / 484
页数：15
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