基于辅助变量偏斜系数的分别比估计(英文)  

New Separate Ratio Estimators Using Coefficient of Skewness of Auxiliary Variable

作　　者：闫在在[1] 田兵[1] 

机构地区：[1]内蒙古工业大学理学院,呼和浩特010051

出　　处：《内蒙古工业大学学报（自然科学版）》2011年第3期161-167,共7页Journal of Inner Mongolia University of Technology：Natural Science Edition

基　　金：supported by National Natural Science Foundation of China(10761004);Talent Development Foundation of Inner Mongolia(2007);Natural Science Foundation of Inner Mongolia(2009MS0107,2010MS0116);Higher school science and technology research project of Inner Mongolia(NJ10085)

摘　　要：本文在分层随机抽样下通过使用辅助变量的偏斜系数提出了几个总体均值的估计。从理论上比较了提出的新估计和经典分别比估计的均方误差。并且通过一个原始数据的实际应用例子验证了提出估计的有效性。The paper proposes new separate ratio estimators for population mean using known skewness coefficient of auxiliary variable in stratified random sampling.We compare MSEs of new separate ratio estimators with traditional separate ratio estimators.The results are supported by an application with original data.

关 键 词：分别比估计 均方误差 总体均值 辅助变量 分层随机抽样 

分 类 号：O212.4[理学—概率论与数理统计]