ORRT models in the presence of non-response and measurement error under stratified random sampling

Abstract

The quintessence of this study is the problem of estimating the finite population mean of sensitive variable in stratified random sampling in the presence of non-response and measurement error simultaneously by utilizing ORRT models. This work offered a class of estimator(s) for the estimation of sensitive variable(s) i.e. sensitive study and auxiliary variable. Up to the first degree of approximation, the expressions for the bias and mean square error of the proposed estimator have been derived. The suggested estimator has been compared with the unbiased estimator and other conventional estimators. The conditions are determined to show the efficiency of the proposed estimator over other considered estimators. To shore up the theoretical results, a comprehensive simulation study is conducted.