IMPROVED CLASS OF RATIO-TYPE ESTIMATOR UNDER DOUBLE SAMPLING
Abstract
In this paper we have proposed a class of ratio -type estimator under double sampling to estimate the population mean of the characteristic under study. The expression for bias and the mean square error of the proposed estimator have been derived up to the first order of approximation. The proposed estimator includes a number of ratio -type estimator under double sampling, thus we have discussed its particular cases and their mean square error have also been compared theoretically with the mean square error of the proposed estimators and conditions are found under which the proposed estimator is more efficient. Numerical illustration has been carried out to observe the efficiency of proposed estimator.