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离散分布的逼近及其应用AI 解读

This article presents a generalized procedure of finding the discrete distribution which minimizes, subject to a set of linear constraints on the probabilities, the “discrimination information” with respect to a given probability distribution. A convergent iterative algorithm is modified to serve this purpose. Many applications are discussed including analyses of contingency tables and some discrete analogues of the one-sample and several-samples problem. A test for the…

对数线性模型分析AI 解读

Summary Log-linear models are extensively used to analyse categorical and “stimulus-response” data. This paper gives an iterative procedure for obtaining maximum likelihood estimates of cell frequencies and of the parameters of a log-linear model in a multinomial experiment.