The likelihood ratio test for homogeneity in finite mixture models

被引:61
作者
Chen, HF [1 ]
Chen, JH [1 ]
机构
[1] Bowling Green State Univ, Dept Math & Stat, Bowling Green, OH 43403 USA
来源
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE | 2001年 / 29卷 / 02期
关键词
asymptotic distribution; binomial mixture; bootstrap; finite mixture; genetic analysis; likelihood ratio; non-regular model; normal mixture; Poisson mixture; strong identifiability;
D O I
10.2307/3316073
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
The authors study the asymptotic behaviour of the likelihood ratio statistic for testing homogeneity in the finite mixture models of a general parametric distribution family. They prove that the limiting distribution of this statistic is the squared supremum of a truncated standard Gaussian process. The autocorrelation function of the Gaussian process is explicitly presented. A re-sampling procedure is recommended to obtain the asymptotic p-value. Three kernel functions, normal, binomial and Poisson, are used in a simulation study which illustrates the procedure.
引用
收藏
页码:201 / 215
页数:15
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