Minimum phi-divergence estimators for loglinear models with linear constraints and multinomial sampling |
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Authors: | N. Martín L. Pardo |
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Affiliation: | (1) Escuela Universitaria de Estadística, Universidad Complutense de Madrid, Spain;(2) Facultad de Matemáticas, Universidad Complutense de Madrid, Spain |
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Abstract: | In this paper the family ofφ-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. This work was parcially supported by Grant DGES PB2003-892 |
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Keywords: | Primary 62H15 Secondary 62H17 |
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