聚类抽样中总体均值估计的一些改进

M. Sakizadeh, A. Gerami
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引用次数: 0

摘要

Gupta和Shabbir(2008)提出了一种替代形式的比率型估计器来估计人口均值。本文引入了两种混合、分层和聚类抽样方法的估计量。然后我们通过使用辅助变量和引入新的估计量来改进这些估计量。在地理弥散度高的无限种群中进行抽样时,种群会被划分成更小的子种群,从而在一定程度上减小了弥散度。这将影响估计量的方差。此外,划分人口将节省成本,时间和简化计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Some Improvment in the Estimation of Population Mean in Cluster Sampling
Gupta and Shabbir (2008) have suggested an alternative form of ratio-type estimator for estimating the population mean. In this paper, we introduced new estimators by mixing two, stratified and cluster sampling method. Then we improved these estimators by using auxiliary variables and introducing new estimators. For sampling in infinite populations with a high geographic dispersion, the population will be divided into some smaller sub-population which leads to dispersion reduction to some extent. This will affect the variance of the estimator. Additionally dividing the population will result in saving cost, time and eases calculations.
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