Improved calibration estimation of population mean in stratified sampling using two auxiliary variables

Abimibola V.  Oladugba; Oluwagbenga T. Babatunde

doi:https://doi.org/10.59170/stattrans-2024-005

Improved calibration estimation of population mean in stratified sampling using two auxiliary variables

Abimibola V. Oladugba Department of Statistics, University of Nigeria, Nsukka, Nigeria ORCID:https://orcid.org/0000-0002-6402-8833 , Oluwagbenga T. Babatunde Corresponding Author. Department of Statistics, University of Nigeria, Nsukka, Nigeria ORCID:https://orcid.org/0000-0002-4761-9770 Statistics in Transition new series, vol. 25, 2024, 1, pages: 77-91 Published online: 6 March 2024 https://doi.org/10.59170/stattrans-2024-005

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ABSTRACT

In this paper, a new improved calibration estimator for the population mean in a stratified sampling was proposed using two auxiliary variables. A simulation study was carried out to evaluate the performance and efficiency of the proposed estimator with respect to three estimators considered in the literature for estimating the population mean in a stratified sampling using two auxiliary variables. The results showed that the new estimator proved to be more efficient than the three existing estimators considered

KEYWORDS

calibration, estimator, stratified sampling, auxiliary variables, mean square error, bias, percentage relative efficiency

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