SOME FAMILIES OF ESTIMATORS USING TWO AUXILIARY VARIABLES IN STRATIFIED RANDOM SAMPLING

Abstract

This paper suggests some generalized classes of modified ratio, regression-cum-ratio and exponential ratio type estimators for finite population mean of the study variable utilizing the information on two auxiliary variables in stratified random sampling. The expressions for bias and mean square error of proposed class of estimators have been derived and compare with those of existing estimator s. An empirical study is carried out to demonstrate the efficiency of the proposed class of estimators over others and it is found that the empirical results support the theoretical study.