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Título:
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Minimum K-phi-divergence estimator
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Autores:
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Pérez, T. ;
Pardo Llorente, Julio Ángel
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Tipo de documento:
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texto impreso
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Editorial:
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Pergamon-Elsevier Science, 2004-04
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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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In the present work, the problem of estimating parameters of statistical models for categorical data is analyzed. The minimum K-phi-divergence estimator is obtained minimizing the K-phi-divergence measure between the theoretical and the empirical probability vectors. Its asymptotic properties are obtained. Rom a simulation study, the conclusion is that our estimator emerges as an attractive alternative to the classical maximum likelihood estimator.
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En línea:
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https://eprints.ucm.es/id/eprint/17521/1/PardoJulio16.pdf
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