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Título:
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Minimum phi-divergence estimator and hierarchical testing in loglinear models
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Autores:
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Cressie, Noel A. ;
Pardo Llorente, Leandro
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Tipo de documento:
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texto impreso
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Editorial:
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Statistica sinica, 2000-07
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/openAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Matemáticas: Probabilidades
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Tipo = Artículo
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Resumen:
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In this paper we consider inference based on very general divergence measures, under assumptions of multinomial sampling and loglinear models. We define the minimum phi-divergence estimator, which is seen to be a generalization of the maximum likelihood estimator. This estimator is then used in a phi-divergence goodness-of-fit statistic, which is the basis of two new statistics for solving the problem of testing a nested sequence of loglinear models.
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En línea:
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https://eprints.ucm.es/id/eprint/18082/1/PardoLeandro46.pdf
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