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- W55342008 abstract "SUMMARY We consider some of the problems associated with likelihood estimation in the context of a mixture of multivariate normal distributions. Unfortunately with mixture models, the likelihood equation usually has multiple roots and so there is the question of which root to choose. In the case of equal covariance matrices the choice of root is straightforward in the sense that the maximum likelihood estimator exists and is consistent. However, an example is presented to demonstrate that the adoption of a homoscedastic normal model in the presence of some heteroscedasticity can considerably influence the likelihood estimates, in particular of the mixing proportions, and hence the consequent clustering of the sample at hand." @default.
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- W55342008 date "1985-01-01" @default.
- W55342008 modified "2023-10-11" @default.
- W55342008 title "Likelihood Estimation with Normal Mixture Models" @default.
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