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

Year 2016, Volume: 45 Issue: 3, 917 - 928, 01.06.2016

Lakhkar Khan , Javid Shabbir

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 (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

References

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