Exponential ratio and product type estimators of the mean in stratified two-phase sampling
In this study, we propose exponential ratio estimators in the stratified two- phase sampling utilizing an auxiliary attribute. The expressions for the mean squared error of these exponential-type estimators under two different cases are derived and theoretical comparisons are made with competing est...
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Veröffentlicht in: | AIMS Mathematics 2021-01, Vol.6 (5), p.4265-4279 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | In this study, we propose exponential ratio estimators in the stratified two- phase sampling utilizing an auxiliary attribute. The expressions for the mean squared error of these exponential-type estimators under two different cases are derived and theoretical comparisons are made with competing estimators. We show that the proposed estimators have a lower mean square error than the simple mean estimator, usual stratified two-phase sampling ratio, and product estimators, usual exponential ratio and product estimators for the stratified two-phase sampling under the obtained conditions in theory. In addition, these theoretical results are supported with the aid of a numerical example. Keywords: stratified two-phase sampling; exponential ratio-product estimators; mean square error; efficiency. Mathematics Subject Classification: 62D05 |
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ISSN: | 2473-6988 2473-6988 |
DOI: | 10.3934/math.2021252 |