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Título:
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Minimum Phi-divergence estimators for loglinear models with linear constraints and multinomial sampling
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Autores:
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Martín Apaolaza, Níriam ;
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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Springer Verlag, 2008-01
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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/restrictedAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Matemáticas: Estadística aplicada
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Materia = Ciencias: Estadística: Muestreo (Estadística)
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Tipo = Artículo
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Resumen:
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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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En línea:
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https://eprints.ucm.es/id/eprint/17617/1/PardoLeandro17.pdf
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