Quasi-independence and Maximum Likelihood Estimation in Incomplete Contingency Tables
DOI: 10.1080/01621459.1970.10481191
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摘要: Abstract Many authors have been concerned with contingency tables containing cells which are missing, a priori zero or otherwise specified. This article examines the problem of maximum likelihood estimation for such under “quasi-in-dependence” model. In particular, conditions provided to ensure existence unique nonzero estimates incomplete obtained by deleting missing cells, even when other contain counts due sampling variation.
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