Finite mixture models

An up-to-date, comprehensive account of major issues in finite mixture modeling This volume provides an up-to-date account of the theory and applications of modeling via finite mixture distributions. With an emphasis on the applications of mixture models in both mainstream analysis and other areas s...

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Bibliographic Details
Main Authors: McLachlan, Geoffrey J., 1946
Group Author: Peel, David, 1971
Published:
Literature type: Electronic eBook
Language: English
Series: Wiley series in probability and statistics. Applied probability and statistics section
Subjects:
Online Access: http://onlinelibrary.wiley.com/book/10.1002/0471721182
Summary: An up-to-date, comprehensive account of major issues in finite mixture modeling This volume provides an up-to-date account of the theory and applications of modeling via finite mixture distributions. With an emphasis on the applications of mixture models in both mainstream analysis and other areas such as unsupervised pattern recognition, speech recognition, and medical imaging, the book describes the formulations of the finite mixture approach, details its methodology, discusses aspects of its implementation, and illustrates its application in many common statistical contexts.
Carrier Form: 1 online resource (xxii, 419 pages) : illustrations.
Bibliography: Includes bibliographical references (pages 349-393) and indexes.
ISBN: 047165406X
9780471654063
0471006262
9780471006268
0471721182
9780471721185
Index Number: QA273
CLC: O211.3
Contents: ML fitting of mixture models -- Multivariate normal mixtures -- Bayesian approach to mixture analysis -- Mixtures with nonnormal components -- Assessing the number of components in mixture models -- Multivariate t mixtures -- Mixtures of factor analyzers -- Fitting mixture models to binned data -- Mixture models for failure-time data -- Mixture analysis of directional data -- Variants of the EM algorithm for large databases -- Hidden Markov models -- Mixture software.