Publication: Minimum Phi-divergence estimators for loglinear models with linear constraints and multinomial sampling
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Publication Date
2008-01
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Martín Apaolaza, Níriam
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Springer Verlag
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Abstract
In this paper the family of phi-divergence estimators for loglinear models with linear constraints and multinomial sampling is studied. This family is an extension of the maximum likelihood estimator studied by Haber and Brown (1986). A simulation study is presented and some alternative estimators to the maximum likelihood are obtained.
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