分层排序集合抽样中人口平均值的一些改进组合估计器

Rajesh Singh, Anamika Kumari
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引用次数: 0

摘要

本文提出了在分层排序集合抽样中使用辅助变量的改进人口均值估计器。我们推导出了偏差和均方误差的一阶近似表达式,并证明在最优条件下,本文提出的估计器比本文采用的其他估计器更有效。为了验证所提估计器的效率,我们考虑了两个群体,并通过数值说明和模拟研究来支持理论结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Some Improved Combined Estimators of Population Mean in Stratified Ranked Set Sampling
This paper presents improved population mean estimators using auxiliary variables in Stratified Ranked Set Sampling. We have derived the expressions for bias and mean square errors up to the first order of approximation and shown that the proposed estimators under optimum conditions are more efficient than other estimators taken in this paper. In an attempt to verify the efficiencies of proposed estimators, theoretical results are supported by numerical illustrations and simulation study for which we have considered two populations.
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