CALIBRATION APPROACH BASED ESTIMATION OF FINITE POPULATION TOTAL IN SURVEY SAMPLING UNDER SUPER POPULATION MODEL WHEN STUDY VARIABLE AND AUXILIARY VARIABLE ARE INVERSELY RELATED
In the present paper we have developed calibration and model based calibration estimators of finite population total when study variable and auxiliary variable are inversely related. It has been shown that calibration, model based and model based calibration approaches provided the same estimators under certain conditions but their variances are different. A limited simulation study has been conducted to examine the relative performance of the estimators based on the aforesaid three approaches. The results of simulation study indicated that regression type model based calibration estimator is the best among all the estimators.