A Modified Class of Ratio and Product Estimators of the Population Mean in Simple Random Sampling using Information on Auxiliary Variable

Abstract

In sample surveys, information on auxiliary variables is usually used to improve on designs, precision and efficiency of Estimators. A modified class of Ratio Estimators is proposed in this paper, while a new class of Product Estimators is suggested to estimate the population mean. The efficiencies of these Estimators are compared and the most efficient Estimator, which is also unbiased, is identified among these Estimators. Numerical illustration is employed to validate this claim.