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A Class of Dual to Ratio-cum-Product Estimators of Population Mean Using Known Correlation Coefficient Between Auxiliary Variates

Gajendra K. Vishwakarma, Manish Kumar, Ravendra Singh

Abstract


This paper presents a class of dual to ratio-cum-product estimators of a finite population mean in simple random sampling using information on the known correlation coefficient between two auxiliary variates. The expressions for the Bias and Mean Square Error (MSE) of the proposed class are obtained up to the first degree of approximation. It has been shown that the proposed class is more efficient than the existing estimators under certain given conditions. An empirical study is also carried out to illustrate the performance of the proposed class of estimators over others.

Keywords


Study variate, Auxiliary variates, Dual, Bias, Mean Square Error.

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