论文信息 - Quasi-independence and Maximum Likelihood Estimation in Incomplete Contingency Tables

Quasi-independence and Maximum Likelihood Estimation in Incomplete Contingency Tables

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 tables under the “quasi-in-dependence” model. In particular, conditions are provided to ensure the existence of unique nonzero maximum likelihood estimates for the cells of incomplete tables obtained by deleting the missing or a priori zero cells, even when other cells contain zero counts due to sampling variation.

Stephen E. Fienberg | S. Fienberg

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