An Efficient Class of Estimators for the Finite Population Mean in Ranked Set Sampling

Lakhkar Khan, Javid Shabbir
2016 Open Journal of Statistics  
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
more » ... ied out to judge the performances of the estimators.
doi:10.4236/ojs.2016.63038 fatcat:tgcslc7agbe75iqhxfdnuypt4u