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Improved Ratio Type Estimator Using Two Auxiliary Variables under Second Order Approximation


In this paper, we have proposed a new Ratio Type Estimator using auxiliary information on two auxiliary variables based on Simple random sampling without replacement (SRSWOR). The proposed estimator is found to be more efficient than the estimators constructed by Olkin (1958), Singh (1965), Lu (2010) and Singh and Kumar (2012) in terms of second-order mean square error.


  • Prayas Sharma, Department of Statistics, Banaras Hindu University, Varanasi-221005, India
  • Rajesh Singh, Department of Statistics, Banaras Hindu University, Varanasi-221005, India



Simple random sampling, Population mean, Study variable, Auxiliary variable, Ratio type estimator, Product estimator, Bias and MSE


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