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• W2085808540 abstract "This paper provides a flexible mixture modeling framework using the multivariate skew normal distribution. A feasible EM algorithm is developed for finding the maximum likelihood estimates of parameters in this context. A general information-based method for obtaining the asymptotic covariance matrix of the maximum likelihood estimators is also presented. The proposed methodology is illustrated with a real example and results are also compared with those obtained from fitting normal mixtures." @default.
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• W2085808540 date "2009-02-01" @default.
• W2085808540 modified "2023-10-16" @default.
• W2085808540 title "Maximum likelihood estimation for multivariate skew normal mixture models" @default.
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• W2085808540 doi "https://doi.org/10.1016/j.jmva.2008.04.010" @default.
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