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Dirichlet and Related Distributions: Theory, Methods and Applications

The Dirichlet distribution appears in many areas of application, which include modelling of compositional data, Bayesian analysis, statistical genetics, and nonparametric inference. This book provides a comprehensive review of the Dirichlet distribution and two extended versions, the Grouped Dirichl...

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Detalles Bibliográficos
Autores principales: Ng, Kai Wang, Tian, Guo-Liang, Tang, Man-Lai
Lenguaje:eng
Publicado: John Wiley & Sons 2011
Materias:
Acceso en línea:http://cds.cern.ch/record/1486966
Descripción
Sumario:The Dirichlet distribution appears in many areas of application, which include modelling of compositional data, Bayesian analysis, statistical genetics, and nonparametric inference. This book provides a comprehensive review of the Dirichlet distribution and two extended versions, the Grouped Dirichlet Distribution (GDD) and the Nested Dirichlet Distribution (NDD), arising from likelihood and Bayesian analysis of incomplete categorical data and survey data with non-response. The theoretical properties and applications are also reviewed in detail for other related distributions, such as the inve