New efficient class of estimators of population mean using two-phase sampling

Shashi Bhushan and Anoop Kumar

International Journal of Mathematics in Operational Research, 2023, vol. 24, issue 2, 155-172

Abstract: This manuscript proffers a new efficient class of estimators for population mean in two-phase sampling using the known population proportion. The usual mean estimator, classical ratio estimator, Singh (2011) estimator and log type estimator are identified as the members of the proposed class of estimators for suitably chosen values of characterising scalars. The expression of mean square error of the proffered estimators is obtained to the first order of approximation. A comparative study is accomplished concerning the relevant contemporary estimators existing till date. Further, an empirical study is carried out using different real datasets. The empirical results turned out to be rewarding as it shows better amelioration over all the existing prominent estimators.

Keywords: bias; efficiency; mean square error; two-phase sampling. (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmore:v:24:y:2023:i:2:p:155-172

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