GENERAL CLASS OF EXPONENTIAL ESTIMATOR FOR ESTIMATING FINITE POPULATION VARIANCE
In this article, we consider the problem of estimating an unknown population variance using two auxiliary variables. A generalized exponential estimator along with a class of estimators has been proposed for estimating population variance. The bias and the mean square error of the proposed estimator are obtained to the first order of approximations. It is shown that the proposed generalized estimator is more efficient than the existing literature estimators. An empirical and a simulated study have also been carried out to demonstrate the efficiency of proposed estimator with the literature.