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Comparing approaches for testing the number of components in a finite mixture model

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Publication:1965946
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zbMath0940.62043MaRDI QIDQ1965946

Gilda Soromenho

Publication date: 2 March 2000

Published in: Computational Statistics (Search for Journal in Brave)


zbMATH Keywords

likelihood ratio testsmixture modelsprior distributions


Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric hypothesis testing (62G10) Monte Carlo methods (65C05)


Related Items (5)

Assessment of the number of components in Gaussian mixture models in the presence of multiple local maximizers ⋮ Latent profile analysis with nonnormal mixtures: a Monte Carlo examination of model selection using fit indices ⋮ An entropy criterion for assessing the number of clusters in a mixture model ⋮ Biclustering multivariate discrete longitudinal data ⋮ Multilevel Functional Clustering Analysis




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