Comparing approaches for testing the number of components in a finite mixture model (Q1965946)
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scientific article; zbMATH DE number 1409670
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Comparing approaches for testing the number of components in a finite mixture model |
scientific article; zbMATH DE number 1409670 |
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Comparing approaches for testing the number of components in a finite mixture model (English)
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2 March 2000
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The results of numerical experiments for comparing five different procedures for testing the number \(k\) of components of finite mixture models are presented. The following approaches are considered: Orlov's nested tests, Wolf's approach, Aitkin-Rubin's approach, SEM algorithm and McLachan's Monte-Carlo test. The author considers the case of a mixture model of two Gaussian components and tested \(k=1\) against \(k=2\).
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mixture models
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likelihood ratio tests
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prior distributions
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