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Empirical Likelihood Inference Under Stratified Random Sampling in the Presence of Measurement Error
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作者 Chang-chun Wu Run-chu Zhang 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2005年第3期429-440,共12页
Suppose that several different imperfect instruments and one perfect instrument are used independently to measure some characteristic of a population. In order to make full use of the sample information, in this paper... Suppose that several different imperfect instruments and one perfect instrument are used independently to measure some characteristic of a population. In order to make full use of the sample information, in this paper the empirical likelihood method is put forward for making inferences on parameters of interest under stratified random sampling in the presence of measurement error, Our results show that it can lead to estimators which are asymptotically normal and utilize all the available sample information. We also obtain the asymptotic distribution of empirical likelihood testing statistics. In particular, we apply the method to obtain estimator and confidence interval of population mean. 展开更多
关键词 Empirical likelihood stratified random sampling measurement error empirical likelihood testingstatistic asymptotic normal asymptotical distribution
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