An Exponential Ratio Type Estimator of Population Mean in Presence of Measurement Error and Non-response Error

In this paper, we proposed an exponential ratio type estimator for estimating the population mean in the presence of measurement error and non-response error. Also, assume that these two errors are present in both the study variable and the auxiliary variable. The theoretical expression of bias and mean square error are also derived up to the first order of approximation for the proposed estimator. A numerical study has been worked out to prove the superiority of the proposed estimator in comparison of other existing estimators using an artificially generated bivariate data set.