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Mixtures : estimation and applications /

This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component distributions of the mixture; the distributions may be continuous or discrete. The editors provide a compl...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Mengersen, Kerrie L., Robert, Christian P., 1961-, Titterington, D. M.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, N.J. : Wiley, 2011.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:This book uses the EM (expectation maximization) algorithm to simultaneously estimate the missing data and unknown parameter(s) associated with a data set. The parameters describe the component distributions of the mixture; the distributions may be continuous or discrete. The editors provide a complete account of the applications, mathematical structure and statistical analysis of finite mixture distributions along with MCMC computational methods, together with a range of detailed discussions covering the applications of the methods and features chapters from the leading experts on the subje.
Descripción Física:1 online resource (xviii, 311 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9781119995678
1119995671
9781119995685
111999568X