在分层抽样下有效利用辅助信息及含于层总体大小中的信息的经验似然方法(英文)  

Empirical Likelihood Method under Stratified Random Sampling Using Auxiliary Information and the Information in the Strata Population Size

作　　者：伍长春[1] 张润楚[2] 

机构地区：[1]嘉兴学院数学与信息科学学院,嘉兴314001 [2]南开大学数学科学学院统计系和教育部重点实验室,天津300071

出　　处：《应用概率统计》2006年第4期401-409,共9页Chinese Journal of Applied Probability and Statistics

基　　金：Supported by National Natural Science Foundation of China(No.10571093)

摘　　要：本文考虑用在分层随机抽样下的经验似然方法来获得有限总体参数的估计量．我们指出,经验似然方法非常自然地结合辅助信息和含于层总体大小中的信息．我们的结果显示,由经验似然方法可获得有效估计．The empirical likelihood method under stratified random sampling is used for getting estimators of finite population parameters, we show in this paper that the empirical likelihood approach is well-suited to incorporate auxiliary information and can accommodate this information contained in the population size for each stratum quite naturally. Our results show that it can lead to efficient estimators.

关 键 词：经验似然 分层随机抽样 辅助信息 层总体大小 刀切法估计 

分 类 号：O212.2[理学—概率论与数理统计] O212.7[理学—数学]