AN EXPONENTIAL APPROACH FOR ESTIMATING POPULATION MEAN USING TWO AUXILIARY VARIABLES IN STRATIFIED RANDOM SAMPLING

Abstract

In this paper we have considered the problem of estimating the population meanY of the study variabley using information
on auxiliary variable x in stratified random sampling. A class of estimators has been proposed. The bias and mean squared error
have been obtained up to first degree of approximation. Optimum condition is obtained in which the proposed class of estimators
has least mean squared error. We have also compared the proposed class of estimators with some existing estimators. An
empirical study is carried out in support of the present study.