Even Order Ranked Set Sampling with Auxiliary Variable

M. Tayyab, Muhammad Noor ul-Amin, M. Hanif
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引用次数: 5

Abstract

Even order ranked set sampling (EORSS) is a novel proposed ranked set sampling scheme connected with an auxiliary variable correlated with the study variable. This scheme quantifies only the one sampling unit which is at even position from each ranking set by employing specific criteria. The performance of the ratio estimator under EORSS is compared to its contemporary estimators in simple random sampling (SRS), ranked set sampling (RSS), median ranked set sampling (MRSS) and quartile ranked set sampling (QRSS) exploiting the same number of quantified units. The simulation results proved that EORSS is an efficient alternative sampling scheme for ratio estimation than SRS, RSS, MRSS and QRSS.
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带辅助变量的偶阶秩集抽样
偶阶排序集抽样(EORSS)是一种新的排序集抽样方案,它与一个与研究变量相关的辅助变量相连接。该方案通过采用特定的标准,只对每个排名集中处于偶数位置的一个抽样单位进行量化。将EORSS下的比率估计器的性能与现有的简单随机抽样(SRS)、排名集抽样(RSS)、中位数排名集抽样(MRSS)和四分位数排名集抽样(QRSS)的估计器进行了比较。仿真结果表明,与SRS、RSS、MRSS和QRSS相比,EORSS是一种有效的比率估计替代采样方案。
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来源期刊
CiteScore
0.50
自引率
0.00%
发文量
5
期刊介绍: The Journal of Modern Applied Statistical Methods is an independent, peer-reviewed, open access journal designed to provide an outlet for the scholarly works of applied nonparametric or parametric statisticians, data analysts, researchers, classical or modern psychometricians, and quantitative or qualitative methodologists/evaluators.
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