Testing homogeneity in contaminated mixture models

CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE(2022)

引用 0|浏览3
暂无评分
摘要
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.
更多
查看译文
关键词
Chi-square, contaminated mixture model, EM-test, homogeneity, limiting distribution
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要