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Simple Models for the Analysis of Association in Cross-Classifications having Ordered Categories

文献名称 Simple Models for the Analysis of Association in Cross-Classifications having Ordered Categories
文献作者 Leo A. Goodman
作者所在单位 Departments of Statistics and Sociology, University of Chicago
文献分类 已发表文献
学科一级分类 统计
学科二级分类 统计学
文献摘要 A class of models is proposed for the analysis of association in a
contingency table with ordered rows and ordered columns. Association
is measured in terms of the odds-ratios in 2 X 2 subtables
formed from adjacent rows and adjacent columns. This class includes
the null association model, the uniform association model,
and models that describe the possible effects of the rows and/or
columns on the association. With these models, the association in
the table can be analyzed in a manner analogous to the usual twoway
analysis of variance, and parsimonious descriptions of this
association can be obtained often. Applications are discussed here,
some well-known sets of data are reanalyzed, and new insights into
these data are obtained
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关键字 Association models; Log-linear models; Partitioning chi-square; Analysis of association; Contingency tables
发表所在刊物(或来源) Journal of the American Statistical Association, Vol. 74, No. 367 (Sep., 1979), pp. 537-552
发表时间 Sep., 1979
适用研究领域 统计学
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