Abstract
This article introduces calibration estimators under different distance measures based on two auxiliary variables in stratified sampling. The theory of the calibration estimator is presented. The calibrated weights based on different distance functions are also derived. A simulation study has been carried out to judge the performance of the proposed estimators based on the minimum relative root mean squared error criterion. A real-life data set is also used to confirm the supremacy of the proposed method.
DOI
10.22237/jmasm/1619481600
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
