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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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| 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 |