Journal of applied mathematics & informatics

The Korean Society for Computational and Applied Mathematics (한국전산응용수학회)
권호 표지

ESTIMATION IN A MIXTURE NORMAL DISTRIBUTION

  • Jee-Seon Baik (Department of Statistics pusan National university)
  • Published : 1997.03.01

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Abstract

By Stochastic simulations we discuss the fitness of a mix-ture normal distribution to observations from general mixture distribu-tions using the MLE method and the EM algorithm. We calulate the probability of misclassifying objects and estimate the optimal number of mixture components with mutual information measure.

Keywords

References

  1. J. Royal Statist. Soc. Ser. B (methodological) v.39 Maximum likelihood from incomplete data via the EM algorithm A. P. Dempster;N.M. Laird;D.B. Rubin
  2. Hidden Markov Models for Speech Recognition X.D. Huang;Y. Ariki;M.A. Jack