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Título:
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Homogeneity/Heterogeneity Hypotheses for Standardized Mortality Ratios Based on Minimum Power-divergence Estimators
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Autores:
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Pardo Llorente, Leandro ;
Martín Apaolaza, Níriam
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Tipo de documento:
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texto impreso
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Editorial:
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Wiley-VCH Verlag Berlin, 2009-10
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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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Tipo = Artículo
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Resumen:
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This paper analyzes the power divergence estimators when homogeneity/heterogeneity hypotheses among Standardized mortality ratios (SMRs) are taken into account. A Monte Carlo study shows that when the standard mortality rate is not external, that is it is estimated from the Sample data, these estimators have a good performance even for small sample sets and in particular the minimum chi-square estimators have a better behavior compared to the classical maximum likelihood estimators In order to make decisions under homogeneity/heterogeneity hypotheses of SNIPS we propose Some test-statistics which consider the minimum power divergence estimators Through a numerical example focused on SMRs of melanoma mortality ratios in different regions of the US, a homogeneity/heterogeneity study IS illustrated
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