ESTIMATION IN STRATIFIED RANDOM SAMPLING IN THE PRESENCE OF ERRORS

Abstract

In this manuscript, we have proposed improved estimators for estimating the finite population mean under stratified random
sampling in three different situations: At first we considered the properties of the estimators under non-response, then in the next
case we studied the estimators for measurement error and in the last case we examined the estimators in the presence of both
measurement error and non-response simultaneously. Expressions for mean squared errors are obtained for suggested estimators.
Empirical study has been carried out to verify the results for which we have considered two real datasets.