SRSWR方法下剔除重复单元的效率研究  

Study on Efficiency of Distinct Unit Under Simple Random Sampling with Replacement

作　　者：刘媛媛[1] 吴国荣[1] 姚贵平[1] 闫在在[2] 

机构地区：[1]内蒙古农业大学理学院,内蒙古呼和浩特010018 [2]内蒙古工业大学理学院,内蒙古呼和浩特010051

出　　处：《数学的实践与认识》2017年第6期260-266,共7页Mathematics in Practice and Theory

基　　金：内蒙古农业大学基础学科科研启动基金项目(JC2015001)

摘　　要：基于定量特征敏感性随机化模型中的Eichhorn and Hayre模型,比较研究了在SRSWR方法下,剔除重复单元和全样本两种不同情况的总体均值估计量的效率问题.数值模拟结果表明:剔除重复单元的估计量精度要优于全样本的估计量精度.In this paper, efficiency of the estimator of population mean under the circum- stance of distinct units and whole sample based on Eichhorn and Hayre model was studied by using simple random sampling with replacement. The results of numerical simulation showed that the precision of the distinct units was higher than that of whole sample.

关 键 词：剔除重复单元 全样本 效率比较 数值模拟 

分 类 号：O212.2[理学—概率论与数理统计]