AN EFFICIENT ESTIMATOR FOR ESTIMATING FINITEPOPULATION MEAN USING KNOWN MEDIAN OF THE STUDY VARIABLE
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.6, No. 6)Publication Date: 2017-06-30
Authors : Dharmendra Kumar Yadav; Dipika; Sheela Misra;
Page : 503-509
Keywords : Study variable; Bias; Ratio estimator; Mean squared error; Simple random sampling; Efficiency.;
Abstract
The present paper concerns with the estimation of population mean of the study variable by utilizing the known median of the study variable. A generalized ratio type estimator has been proposed for this purpose. The expressions for the bias and mean squared error of the proposed estimator have been derived up to the first order of approximation. The optimum value of the characterizing scalar has also been obtained. The minimum value of the proposed estimator for this optimum value of the characterizing scalar is obtained. A theoretical efficiency comparison of the proposed estimator has been made with the mean per unit estimator, usual ratioestimator of Cochran (1940), usual regression estimator of Watson (1937) ,Bahl and Tuteja estimator (1991), Kadilar (2016) and Subramani (2016) estimators. Through the numerical study, the theoretical findings are validated and it has been found that proposed estimatorperforms better than theexisting estimators.
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