Improved Estimators of Finite Population Variance in Double Sampling
In this article we have suggested a class of exponential type estimators for estimating population variance of a study variable using information of auxiliary variable under double sampling scheme. The bias and mean square error of the estimators belonging to proposed class are obtained and the optimum
parameters of class are given in double sampling scheme. It has been shown that the proposed class of estimators is more efficient than other estimators in the literature under double sampling scheme. Efficiency comparison is carried out using different data sets.
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