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Título:
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Influence measures based on Cressie-Read divergence measures in multivariate linear model
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Autores:
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García de las Heras, Joaquín A. ;
Muñoz García, Joaquín ;
Muñoz Pichardo, Juan Manuel ;
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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Taylor & Francis, 2006
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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 aplicada
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Tipo = Artículo
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Resumen:
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We define a new family of influence measures based on the divergence measures, in the multivariate general linear model. Influence measures are obtained by quantifying the divergence between the sample distribution of an estimate obtained with all the observations and the sample distribution of the same estimate obtained without any observation. This approach is applied to best linear unbiased estimates of estimable functions. Therefore, these diagnostics can be applied to every statistical multivariate technique that can be formulated like this kind of model. Some examples are considered to clarify the applicability of the introduced diagnostics.
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En línea:
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https://eprints.ucm.es/id/eprint/17701/1/PardoLeandro205oficial.pdf
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