4.0 Article

Testing homogeneity in contaminated mixture models

出版社

WILEY
DOI: 10.1002/cjs.11651

关键词

Chi-square; contaminated mixture model; EM-test; homogeneity; limiting distribution

资金

  1. National Natural Science Foundation of China [11801359, 11971300, 11771144, 11771145, 11901519]
  2. Natural Science Foundation of Shanghai [19ZR1420900]
  3. Natural Sciences and Engineering Research Council of Canada [RGPIN-2018-05846]

向作者/读者索取更多资源

Contaminated mixture models (CMMs) have wide applications in the real world. An EM-test has been developed for testing homogeneity in CMMs, with demonstrated excellent finite-sample performance through simulation studies. Two real-data examples illustrate the applications of the proposed method.
Contaminated mixture models (CMMs) have wide applications in the real world. Testing homogeneity in CMMs is an important and fundamental problem. In this article, we develop an EM-test for homogeneity in the general framework of the CMM with unbounded likelihood. The null limiting distribution of the test is shown to be a shifted mixture of chi-square distributions. Simulation studies demonstrate that the EM-test has excellent finite-sample performance. Two real-data examples illustrate the applications of the proposed method.

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