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Título:
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Minimum (h,phi)-divergences estimators with weights
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Autores:
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Landaburu Jiménez, María Elena ;
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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Elsevier, 2003-07-30
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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: Probabilidades
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Tipo = Artículo
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Resumen:
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We consider experiments involving the observation of a discrete random variable, or quantitative classification process and we also assume that in addition to probability of each value or class we know its "utility" or "weight" (or more precisely, we can quantify the "nature" of each value or class). In this paper a procedure of minimum divergence estimation based on (h;phi)-divergences is analyzed, for the considered experiments, and its asymptotic behaviour is studied. (C) 2002 Elsevier Science Inc. All rights reserved
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En línea:
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https://eprints.ucm.es/id/eprint/16500/1/Landaburu05.pdf
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