Two Chain-Type Exponential Estimators for the Estimation of the Population Mean

This paper attempts to suggest two chain-type exponential estimators to estimate population mean when the information regarding auxiliary variable is complete. To the first-order approximation, the bias and the mean squared error (MSE) of the suggested estimators have been discussed. A few members were also derived from the suggested estimators by allocating the different suitable values of constants. In addition, theoretical and numerical studies were used in order to access the efficiency of the suggested estimators. The results of this study show that the suggested estimators are more efficient under bias and percent of relative efficiencies (PREs) criterion compared to other existing estimators.