Regression-cum-Exponential Ratio Estimators in Adaptive Cluster Sampling

Abstract

In this paper, Regression-cum-Exponential Ratio Estimators have been proposed for estimating the population mean using two auxiliary variables in Adaptive Cluster Sampling. The expressions for the Mean Square Error and Bias of the proposed Estimators have been derived. A simulation study has been carried out to demonstrate and compare the efficiencies and precisions of the Estimators. The proposed Estimators have been compared with Conventional Ratio, Regression, Exponential Ratio Estimators both under Simple Random Sampling With-Out Replacement (SRSWOR) and Adaptive Cluster Sampling.