%0 Journal Article
%T An Efficient Class of Estimators for the Finite Population Mean in Ranked Set Sampling
%A Lakhkar Khan
%A Javid Shabbir
%J Open Journal of Statistics
%P 426-435
%@ 2161-7198
%D 2016
%I Scientific Research Publishing
%R 10.4236/ojs.2016.63038
%X 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.
%K Ranked Set Sampling
%K Auxiliary Variable
%K Bias
%K Mean Squared Error
%K Relative Efficiency
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=67321