Abstract

This study is based on the proposal of generalized exponential estimator for finite population variance using two transformed auxiliary variables. The expressions for mean square errors and the minimum values for the optimized constants are obtained. The conditions are obtained for which the proposed estimator are better than existing estimators. The result of empirical and simulation study indicates that the suggested estimator is efficient than existing estimators for population variance.

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