A class of Hartley-Ross type unbiased estimators for population mean using ranked set sampling

Authors : Lakhkar KHAN, Javid SHABBİR

Pages : 917-928

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Publication Date : 2016-06-01

Article Type : Research Paper

Abstract :In this paper, we propose a class of Hartley-Ross type unbiased esti- mators for estimating the finite population mean of the study variable under ranked set sampling insert ignore into journalissuearticles values(RSS);, when population mean of the auxil- iary variable is known. The variances of the proposed class of unbiased estimators are obtained to first degree of approximation. Both theo- retically and numerically, the proposed estimators are compared with some competitor estimators, using three different data sets. It is iden- tified through numerical study that the proposed estimators are more effcient as compared to all other competitor estimators.
Keywords : Ranked set sampling, auxiliary variable, variance