CALIBRATED SEPARATE RATIO ESTIMATOR FOR ESTIMATING THE POPULATION MEAN USING AUXILIARY INFORMATION IN THE PRESENCE OF NON-RESPONSE

In the present paper, we have considered separate ratio estimator using calibration approach for the population mean in the presence of non-response using stratified random sampling. We have used the calibration approach to improve the precision of estimate of the population mean by using auxiliary character. In this study, we have used two constraints to find the calibration estimator. In order to determine the variance or mean square error of the suggested estimator, we use Taylor's linearization method. In order to assess the efficiency of the proposed calibration estimator, we also conduct a simulation study. On the basis of simulation study, it has been observed that the proposed estimator is more efficient than the Dykes et al. (2015) and Khare (2013) estimator.