On Using the Conventional and Nonconventional Measures of the Auxiliary Variable for Mean Estimation

Abstract

In this paper, we propose an improved new class of exponential-ratio-type estimators for estimating the finite population mean using the conventional and the nonconventional measures of the auxiliary variable. Expressions for the bias and MSE are obtained under large sample approximation. Both simulation and numerical studies are conducted to validate the theoretical findings. Use of the conventional and the nonconventional measures of the auxiliary variable is very common in survey research, but we observe that this does not add much value in many of the estimators except for our proposed class of estimators.

Development of improved estimators of finite population mean in simple random sampling with dual auxiliaries and its application to real world problems

“…Building upon the foundation work of [ 17 , 25 ] this study introduces two innovative families of exponential ratio-cum-product estimators. The objectives of this study are twofold.…”