CALIBRATION ESTIMATOR OF POPULATION MEAN UNDER STRATIFIED SYSTEMATIC SAMPLING DESIGN

Abstract

The calibration estimation technique is widely used in survey sampling for improving the precision of population parameter estimates. In this paper, a calibrated mean estimator using stratified systematic sampling design is proposed and the expressions for theoretical bias and theoretical variance are derived. A simulation study along with real-life application based analysis is conducted where the percent relative efficiency (PRE) is considered as a performance criterion. Based on the results, the proposed estimator is found to be more efficient than the usual mean estimators and the calibrated mean estimator developed by Tracy et al. (2003). © 2021 DAV College. All rights reserved.