Double Sampling Generalized Estimators of Rato and Product of Parameters

Abstract

Double sampling generalized estimators representing a wider classes of estimators than some of previous ones in the literature, are proposed for the estimation of ratio and product parameters. Bias and mean square error of the proposed wider classes of estimators are found and their properties are studied. Subsets of optimum estimators in the sense of having minimum mean square error are investigated and sunsets of estimators depending upon estimated optimum values and attaining the same minimum mean square error of the optimum are also obtained.