Online Program Home
My Program

Abstract Details

Activity Number: 579 - Sampling, Variance Estimation, and Advancements with Auxiliary Data
Type: Contributed
Date/Time: Wednesday, July 31, 2019 : 2:00 PM to 3:50 PM
Sponsor: Survey Research Methods Section
Abstract #306854
Title: New Methodology of Calibration in Stratified Random Sampling
Author(s): Shameem Alam* and Sarjinder Singh and Javid Shabbir
Companies: and Texas A & M University-Kingsville and Quaid-e-Azam University Islamabad
Keywords: Calibration; Stratified random sampling; Auxiliary information; Percent relative efficiency; Simulation

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.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2019 program