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This paper addresses the problem of estimating the population mean  of the study variable using information on transformed auxiliary variables. In addition to many, Yasmeen et al (2015) estimator shown to the members of the suggested classes of estimators. We have derived the bias and mean squared error (MSE) of the suggested classes of estimators to the first degree of approximation. We have obtained the optimum conditions for which the suggested classes of estimators have minimum mean squared errors. It has been shown that the proposed classes of estimators are more efficient than the estimators recently envisaged by Yasmeen et al (2015) and other existing estimators.


Study variate Mean Variance Auxiliary variate Efficiency Comparison.

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Author Biography

Anita Yadav, Vikram University

School of Studies in Statistics, Vikram University,Ujjain ,Madhya Pradesh