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A ratio chain-type exponential estimator for finite population mean using double sampling

In this article, we have proposed a ratio chain-type exponential estimator for finite population mean of the study variable under double sampling scheme using auxiliary variables. The large sample properties of the suggested strategy are derived up to first order, of approximation, and its competenc...

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Detalles Bibliográficos
Autor principal: Khan, Mursala
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4729763/
https://www.ncbi.nlm.nih.gov/pubmed/26848426
http://dx.doi.org/10.1186/s40064-016-1717-4
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author Khan, Mursala
author_facet Khan, Mursala
author_sort Khan, Mursala
collection PubMed
description In this article, we have proposed a ratio chain-type exponential estimator for finite population mean of the study variable under double sampling scheme using auxiliary variables. The large sample properties of the suggested strategy are derived up to first order, of approximation, and its competence conditions are carried out under which the suggested estimator is performed better than the other existing estimators discussed in the literature. An empirical study shows that the suggested strategy is more efficient than the other relevant competing estimators under two phase sampling scheme.
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spelling pubmed-47297632016-02-04 A ratio chain-type exponential estimator for finite population mean using double sampling Khan, Mursala Springerplus Research In this article, we have proposed a ratio chain-type exponential estimator for finite population mean of the study variable under double sampling scheme using auxiliary variables. The large sample properties of the suggested strategy are derived up to first order, of approximation, and its competence conditions are carried out under which the suggested estimator is performed better than the other existing estimators discussed in the literature. An empirical study shows that the suggested strategy is more efficient than the other relevant competing estimators under two phase sampling scheme. Springer International Publishing 2016-01-27 /pmc/articles/PMC4729763/ /pubmed/26848426 http://dx.doi.org/10.1186/s40064-016-1717-4 Text en © Khan. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Khan, Mursala
A ratio chain-type exponential estimator for finite population mean using double sampling
title A ratio chain-type exponential estimator for finite population mean using double sampling
title_full A ratio chain-type exponential estimator for finite population mean using double sampling
title_fullStr A ratio chain-type exponential estimator for finite population mean using double sampling
title_full_unstemmed A ratio chain-type exponential estimator for finite population mean using double sampling
title_short A ratio chain-type exponential estimator for finite population mean using double sampling
title_sort ratio chain-type exponential estimator for finite population mean using double sampling
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4729763/
https://www.ncbi.nlm.nih.gov/pubmed/26848426
http://dx.doi.org/10.1186/s40064-016-1717-4
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