Exponential Estimators of Finite Population Variance in Simple Random Sampling

摘要

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 simple random 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. It has been shown that the proposed class of estimators is more efficient than other estimators in the literature. Efficiency comparison is carriedout using different datasets.