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579 – Sampling, Variance Estimation, and Advancements with Auxiliary Data
New Methodology of Calibration in Stratified Random Sampling
Shameem Alam
Quaid-i-Azam University
Javid Shabbir
Quaid-i-Azam University
Sarjinder Singh
Texas A&M University-Kingsville
Calibration is a technique which improves the precision of the estimates of population parameters by using the auxiliary information. In the current investigation, the problem of estimation of population mean in stratified random sampling has been developed by a new calibration technique. It has been shown through simulation studies, the proposed resultant estimators are more efficient than the combined ratio estimator as well as the combined regression estimator.