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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Bibliographic Details
Other Authors: Mengersen, Kerrie L., Robert, Christian P., 1961-, Titterington, D. M.
Format: eBook
Language:English
Published: Hoboken, N.J. : Wiley, 2011.
Series:Wiley series in probability and statistics.
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary: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.
Physical Description:1 online resource (xviii, 311 pages) : illustrations.
Bibliography:Includes bibliographical references and index.
ISBN:9781119995678
1119995671
9781119995685
111999568X
DOI:10.1002/9781119995678