A modified likelihood ratio test for homogeneity in finite mixture models

被引:164
作者
Chen, HF
Chen, JH
Kalbfleisch, JD
机构
[1] Univ Waterloo, Dept Stat & Actuarial Sci, Waterloo, ON N2L 3G1, Canada
[2] Bowling Green State Univ, Bowling Green, OH 43403 USA
关键词
asymptotic distribution; finite mixture; irregular model; strong identifiability;
D O I
10.1111/1467-9868.00273
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Testing for homogeneity in finite mixture models has been investigated by many researchers. The asymptotic null distribution of the likelihood ratio test (LRT) is very complex and difficult to use in practice, We propose a modified LRT for homogeneity in finite mixture models with a general parametric kernel distribution family. The modified LRT has a chi (2)-type of null limiting distribution and is asymptotically most powerful under local alternatives. Simulations show that it performs better than competing tests. They also reveal that the limiting distribution with some adjustment can satisfactorily approximate the quantiles of the test statistic, even for moderate sample sizes.
引用
收藏
页码:19 / 29
页数:11
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