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- W2066155071 abstract "Cressie et al. (2000; 2003) introduced and studied a new family of statistics, based on the φ-divergence measure, for solving the problem of testing a nested sequence of loglinear models. In that family of test statistics the parameters are estimated using the minimum φ-divergence estimator which is a generalization of the maximum likelihood estimator. In this paper we study the minimum power-divergence estimator (the most important family of minimum φ-divergence estimator) for a nested sequence of loglinear models in three-way contingency tables under assumptions of multinomial sampling. A simulation study illustrates that the minimum chi-squared estimator is simultaneously the most robust and efficient estimator among the family of the minimum power-divergence estimator." @default.
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- W2066155071 date "2003-11-01" @default.
- W2066155071 modified "2023-09-30" @default.
- W2066155071 title "Minimum power-divergence estimator in three-way contingency tables" @default.
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- W2066155071 doi "https://doi.org/10.1080/0094965031000097782" @default.
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