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

Abimibola V. Oladugba, Oluwagbenga T. Babatunde

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.

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Year of publication:	2024
Authors:	Oladugba, Abimibola V. ; Babatunde, Oluwagbenga T.
Published in:	Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland. - Warszawa : GUS, ISSN 2450-0291, ZDB-ID 2235641-1. - Vol. 25.2024, 1, p. 77-91
Subject:	calibration \| estimator \| stratified sampling \| auxiliary variables \| mean square error \| bias \| percentage relative efficiency \| Schätztheorie \| Estimation theory \| Stichprobenerhebung \| Sampling \| Systematischer Fehler \| Bias

Type of publication:	Article
Type of publication (narrower categories):	Aufsatz in Zeitschrift ; Article in journal
Language:	English
Other identifiers:	10.59170/stattrans-2024-005 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

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