Calibration estimators for estimating population mean using different distance measures

dc.contributor.authorMuhammad Bilal
dc.contributor.authorCIIT/FA20-BST-007/LHR
dc.contributor.authorN/A
dc.contributor.authorLHR TP 9952
dc.date.accessioned2026-01-05T12:45:05Z
dc.date.issued2025-04-01
dc.description.abstractAbstract: 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.
dc.identifier.urihttps://repository.cuilahore.edu.pk/handle/123456789/169
dc.publisherLibrary Information Services, COMSATS University Islamabad, Lahore Campus.
dc.relation.ispartofseriesLHR TP 9952
dc.subjectStatistics
dc.subjectFA20
dc.subjectCalibration estimators
dc.subjectpopulation mean
dc.subjectdistance measures
dc.titleCalibration estimators for estimating population mean using different distance measures
dc.typeThesis

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