A score test under a semiparametric finite mixture model

被引:1
|
作者
Zhang, B [1 ]
机构
[1] Univ Toledo, Dept Math, Toledo, OH 43606 USA
关键词
biased sampling problem; chi-squared; consistency; local alternative; mixture model; profile log likelihood; score function; score statistic; semiparametric maximum likelihood; semiparametric selection bias model;
D O I
10.1080/10629360500108095
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We propose a score statistic to test the mixing proportion under a semiparametric finite mixture model introduced by Anderson [Anderson, J.A., 1979, Multivariate logistic compounds. Biometrika, 66, 17 26]. The proposed score test is based on the semiparametric profile log-likelihood function under a three-sample semiparametric model. The proposed score statistic has an asymptotic chi(2) distribution under the null hypothesis and an asymptotic noncentral chi(2) distribution under local alternatives to the null hypothesis. Moreover, we show that the proposed score test is asymptotically equivalent to the Wald test and the empirical likelihood ratio test. We present some results on simulation and on the analysis of one data set.
引用
收藏
页码:691 / 703
页数:13
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