ESTIMATION OF POPULATION MEAN USING AUXILIARY INFORMATION IN PRESENCE OF MEASUREMENT ERRORS

The present article concerns with the estimation of finite population mean using auxiliary information in the presence of measurement errors. The expressions for the bias and mean squared error (MSE) of the proposed estimator are obtained up to first order of approximation. A theoretical efficiency comparison between the proposed estimator and usual linear regression estimator under measurement errors has been made. Theoretical results are supported by the simulation study using R software