文章基本信息

标题：An Efficient Class of Estimators for the Finite Population Mean in Ranked Set Sampling
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作者：Lakhkar Khan ; Javid Shabbir
期刊名称：Open Journal of Statistics
印刷版ISSN：2161-718X
电子版ISSN：2161-7198
出版年度：2016
卷号：06
期号：03
页码：426-435
DOI：10.4236/ojs.2016.63038
语种：English
出版社：Scientific Research Publishing
摘要：In this paper, we propose a class of estimators for estimating the finite population mean of the study variable under Ranked Set Sampling (RSS) when population mean of the auxiliary variable is known. The bias and Mean Squared Error (MSE) of the proposed class of estimators are obtained to first degree of approximation. It is identified that the proposed class of estimators is more efficient as compared to [1] estimator and several other estimators. A simulation study is carried out to judge the performances of the estimators.
关键词：Ranked Set Sampling;Auxiliary Variable;Bias;Mean Squared Error;Relative Efficiency