TITLE:
An Efficient Class of Estimators for the Finite Population Mean in Ranked Set Sampling
AUTHORS:
Lakhkar Khan, Javid Shabbir
KEYWORDS:
Ranked Set Sampling, Auxiliary Variable, Bias, Mean Squared Error, Relative Efficiency
JOURNAL NAME:
Open Journal of Statistics,
Vol.6 No.3,
June
14,
2016
ABSTRACT: 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.