A simulation study: Using dual ancillary variable to estimate population mean under stratified random sampling

Sohaib Ahmad, Sardar Hussain, Uzma Yasmeen, Muhammad Aamir, Javid Shabbir, M El-Morshedy, Afrah Al-Bossly and Zubair Ahmad

PLOS ONE, 2022, vol. 17, issue 11, 1-19

Abstract: In this paper, we propose an improved ratio-in-regression type estimator for the finite population mean under stratified random sampling, by using the ancillary varaible as well as rank of the ancillary varaible. Expressions of the bias and mean square error of the estimators are derived up to the first order of approximation. The present work focused on proper use of the ancillary variable, and it was discussed how ancillary variable can improve the precision of the estimates. Two real data sets as well as simulation study are carried out to observe the performances of the estimators. We demonstrate theoretically and numerically that proposed estimator performs well as compared to all existing estimators.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0275875

DOI: 10.1371/journal.pone.0275875

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