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Título:
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New improved estimators for overdispersion in models withclustered multinomial data and unequal cluster sizes
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Autores:
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Alonso-Revenga, J. ;
Martin, N. ;
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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Springer, 2017
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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/openAccess
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: Investigación operativa
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Tipo = Artículo
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Resumen:
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It is usual to rely on the quasi-likelihood methods for deriving statistical methods applied to clustered multinomial data with no underlying distribution. Even though extensive literature can be encountered for these kind of data sets, there are few investigations to deal with unequal cluster sizes. This paper aims to contribute to fill this gap by proposing new estimators for the intracluster correlation coefficient.
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En línea:
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https://eprints.ucm.es/42059/1/PardoLeandro57libre.pdf
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