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不等概率抽样估计的原理与应用
引用本文:李培军.不等概率抽样估计的原理与应用[J].辽宁师范大学学报(自然科学版),2004,27(4):385-388.
作者姓名:李培军
作者单位:东北财经大学,统计系,辽宁,大连,116025
摘    要:不等概率抽样估计是一种十分有效的抽样推断方法.它在以样本估计总体时是应用一个与所要调查的目标变量相关的辅助变量作为样本单位抽选的概率,能使得对总体指标数值影响大的单位赋予大的抽中概率,同时在构造样本指标时,可利用辅助变量值对目标变量值进行调整,增大了样本对总体的代表性,由此抽取的样本和依据样本计算的样本指标就更接近于总体指标.

关 键 词:不等概率抽样  辅助变量  估计  样本  总体  抽样推断  单位  目标变量  指标  量值
文章编号:1000-1735(2004)04-0385-04
修稿时间:2004年9月2日

The Theory of Inequiprobability Sample Estimation and Its Applications
LI Pei-jun.The Theory of Inequiprobability Sample Estimation and Its Applications[J].Journal of Liaoning Normal University(Natural Science Edition),2004,27(4):385-388.
Authors:LI Pei-jun
Abstract:Inequiprobability sample estimation is a very effective method for sample inference. When estimation population by sample, the method uses the probability of an auxiliary variable related to the target variable as the probability of selecting the sample in order to give greater weight to the sample points that effect the population greater, meanwhile, when constructing indexes, the method magnifies the representativeness of sample by adjusting the value of target variable according to the value of auxiliary variable, so the sample selected in this way and the value of target variable got from these sample points will be closer to the population indexes.
Keywords:inequiprobability sample  auxiliary variable  efficiency of sample  
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