On application of the asymptotic tests for estimating the number of mixture distribution components

Gorshenin A.K.
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The paper demonstrates the efficiency of asymptotically most powerful test of statistical hypotheses about the number of mixture components in the adding and splitting component models. Test data are the samples from different finite normal mixtures. The results are compared for various significance levels and weights.

Keywords: finite mixture of normal distributions, asymptotically most powerful test
Citation in English: Gorshenin A.K. On application of the asymptotic tests for estimating the number of mixture distribution components // Computer Research and Modeling, 2012, vol. 4, no. 1, pp. 45-53
Citation in English: Gorshenin A.K. On application of the asymptotic tests for estimating the number of mixture distribution components // Computer Research and Modeling, 2012, vol. 4, no. 1, pp. 45-53
DOI: 10.20537/2076-7633-2012-4-1-45-53
URL: http://crm-en.ics.org.ru/journal/article/1854/
Creative Commons License This work is licensed under a Creative Commons Attribution-NoDerivs 3.0 Unported License.
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