Author(s)

Lakhkar Khan^1,2, Javid Shabbir²

¹Department of Statistics Government College Toru, Khyber Pukhtunkhwa, Pakistan.
²Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan.

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.

Ranked Set Sampling, Auxiliary Variable, Bias, Mean Squared Error, Relative Efficiency

Khan, L. and Shabbir, J. (2016) An Efficient Class of Estimators for the Finite Population Mean in Ranked Set Sampling. Open Journal of Statistics, 6, 426-435. doi: 10.4236/ojs.2016.63038.