Muhammad BilalCIIT/FA20-BST-007/LHRN/ALHR TP 99522026-01-052025-04-01https://repository.cuilahore.edu.pk/handle/123456789/169Abstract: In order to increase the accuracy of population parameter estimations based on auxiliary data, calibration is frequently utilized. To estimate the population variance, we suggested three estimators: a calibration variance estimator, a calibration exponential ratio estimator, and a calibration coefficient estimator. The suggested assessment was contrasted with those of Bhal and Tuteja (1991), Koyuncu and Kahilar (2012), and Isaki (1981). Compared to current estimators, the calibration variance estimators that are proposed perform better.StatisticsFA20Calibration estimatorspopulation meandistance measuresCalibration estimators for estimating population mean using different distance measuresThesis