1988 年 15 巻 23 号 p. 85-91
Log-linear models have played a central role in analyzing the contingency tables. These models fail to exploit all the available information about the category orderings. Goodman (1979, 1981a, b) has recently proposed a general class of models for the analysis of association in cross-classifications having ordered categories. Clogg (1982), Agresti (1983) and Agresti & Kezouh (1983) extended his method to multi-way cross-classifications. This article presents the maximum likelihood methods to obtain parameter estimates for the analysis of association in multi-way case.