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Activity Number:
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579
- Sampling, Variance Estimation, and Advancements with Auxiliary Data
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Type:
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Contributed
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Date/Time:
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Wednesday, July 31, 2019 : 2:00 PM to 3:50 PM
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Sponsor:
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Survey Research Methods Section
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Abstract #306854
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Title:
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New Methodology of Calibration in Stratified Random Sampling
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Author(s):
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Shameem Alam* and Sarjinder Singh and Javid Shabbir
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Companies:
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and Texas A & M University-Kingsville and Quaid-e-Azam University Islamabad
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Keywords:
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Calibration;
Stratified random sampling;
Auxiliary information;
Percent relative efficiency;
Simulation
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Abstract:
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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 strati?ed random sampling has been developed by a new calibration technique. It has been shown through simulation studies, the proposed resultant estimators are more ef?cient than the combined ratio estimator as well as the combined regression estimator.
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Authors who are presenting talks have a * after their name.
