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...
Other Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
Hoboken, N.J. :
Wiley,
2011.
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Series: | Wiley series in probability and statistics.
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Subjects: | |
Online Access: | Full Text via HEAL-Link |
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. |
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Physical Description: | 1 online resource (xviii, 311 pages) : illustrations. |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 9781119995678 1119995671 9781119995685 111999568X |
DOI: | 10.1002/9781119995678 |