A chain ratio-type exponential estimator for population mean in double sampling
In this paper we have proposed an efficient ratio-type exponential estimator for estimating the population mean of the study variable, by incorporating two auxiliary variables in twophase (double) sampling. The bias and the mean square error of the proposed estimator have been obtained up to the fir...
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Veröffentlicht in: | Statistics in transition : journal of the Polish Statistical Association 2024, Vol.25 (1), p.63-76 |
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container_title | Statistics in transition : journal of the Polish Statistical Association |
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creator | Sahoo, Nirupama Jhankar, Sananda Kumar |
description | In this paper we have proposed an efficient ratio-type exponential estimator for estimating the population mean of the study variable, by incorporating two auxiliary variables in twophase (double) sampling. The bias and the mean square error of the proposed estimator have been obtained up to the first order of approximation. The newly proposed estimator offers more precision in comparison to other competing estimators, theoretically as well as empirically, by considering a known value of some population parameter. |
doi_str_mv | 10.59170/stattrans-2024-004 |
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source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
subjects | Economy |
title | A chain ratio-type exponential estimator for population mean in double sampling |
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