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Título:
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Goodness of fit tests with weights in the classes based on (h,phi)-divergences
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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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Institute of Information Theory and Automation of the ASCR, 2000
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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 matemática
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Tipo = Artículo
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Resumen:
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The aim of the paper is to present a test of goodness of fit with weigths in the classes based on weighted (h, phi)-divergences. This family of divergences generalizes in some sense the previous weighted divergences studied by Frank et al [5] and Kapur [11]. The weighted (h, phi)-divergence between an empirical distribution and a fixed distribution is here investigated for large simple random samples, and the asymptotic distributions are shown to be either normal or equal to the distribution of a linear combination of independent chi-square variables. Some approximations to the linear combination of independent chi-square variables are presented
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En línea:
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https://eprints.ucm.es/id/eprint/16512/1/Landaburu06.pdf
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