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Finite mixture models /

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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 Author: McLachlan, Geoffrey J., 1946-
Other Authors: Peel, David, 1971-
Format: eBook
Language:English
Published: New York : Wiley, ©2000.
Series:Wiley series in probability and statistics. Applied probability and statistics.
Subjects:
Mixture distributions (Probability theory)
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of 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.