A family of product estimators for population
mean in median ranked set sampling using single
and double auxiliary variables
by Azhar Mehmood Abbasi and Muhammad Yousaf Shahad.
In this article, we proposed a family of product estimators for estimating population mean in
median ranked set sampling(MRSS) using single and two auxiliary variables adopting the family
of estimators proposed by Khoshnevisan et.al(2007). The expressions of bias and mean square
error (MSE) are derived. A comprehensive simulation study has been conducted to compare
the MSEs of the estimators.It is found that the estimators based on MRSS perform better than
the estimators based on simple random sampling (SRS). A real data set has also been used to
illustrate the method.
Keywords:Simple random sampling(SRS), ranked set sampling(RSS),extreme ranked set sam-
pling(ERSS),median ranked set sampling(MRSS),bias and mean square error(MSR)
Author:Azhar Mehmood Abbasi, firstname.lastname@example.org
Muhammad Yousaf Shahad
Khaub, James R, jamesRknaub@gmail.com
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