Ratio Estimator Using Two Auxiliary Variables for Adaptive Cluster Sampling

Abstract

Chao [1] considered the ratio estimator for the population total of the variable of interest in adaptive cluster sampling by using only one auxiliary variable. In this paper we focus on the use of transformed auxiliary variables for estimating the population total for the variable of interest by using two auxiliary variables (based on Gupta and Shabbir [2]) . Simulations showed the proposed estimator had the smallest estimated mean square error when compared the ratio estimators using only one auxiliary variable.