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Título:
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A Bayesian Analysis For The Homogeneity Testing Problem Using Epsilon-Contaminated Priors
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Autores:
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Gómez Villegas, Miguel A. ;
González Pérez, Beatriz
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Tipo de documento:
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texto impreso
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Editorial:
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Taylor & Francis, 2011
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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 this article the problem of testing if r populations have the same distribution from a Bayesian perspective is studied using r × s contingency tables and ?–contaminated priors. A procedure to build a mixed prior distribution is introduced and a justification for this construction based on a measure of discrepancy is given. A lower bound for the posterior probabilities of the homogeneity null hypothesis, when the prior is in the class of ?–contaminated distributions, is calculated and compared numerically with the usual p-value. Examples show that the discrepancy between both is more acute when the mass assigned to the null in the mixed prior distribution is 0.5
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En línea:
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https://eprints.ucm.es/id/eprint/16042/1/Villegas03.pdf
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