MODEL CHOICE IN CONTINGENCY TABLE ANALYSIS USING THE POSTERIOR BAYES FACTOR

被引：7

作者：

AITKIN, M ^{[1
]}

机构：

[1] TEL AVIV UNIV,IL-69978 TEL AVIV,ISRAEL

来源：

COMPUTATIONAL STATISTICS & DATA ANALYSIS | 1992年 / 13卷 / 03期

关键词：

MODEL CHOICE; CONTINGENCY TABLE ANALYSIS; POSTERIOR BAYES FACTOR;

D O I：

10.1016/0167-9473(92)90133-Z

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper applies the Posterior Bayes Factor (Aitkin [1]) to two problems of model choice in logistic modelling of contingency tables. The problems are (i) choosing between different link functions for the same regression model, and (ii) assessing the goodness-of-fit of a logistic model with a continuous covariate with very small sample sizes at each covariate value. New and very simple results are obtained; numerical examples are given.

引用

页码：245 / 251

页数：7

共 6 条

[1]

AITKIN M, 1991, J ROY STAT SOC B MET, V53, P111

[2]

BRESLOW NE, 1985, CELEBRATION STATISTI

[3]

Freeman DH, 1987, APPLIED CATEGORICAL

[4] 2 GUIDELINES FOR BOOTSTRAP HYPOTHESIS-TESTING [J].