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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer International Publishing
2016
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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. |
format | Online Article Text |
id | pubmed-4729763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT khanmursala aratiochaintypeexponentialestimatorforfinitepopulationmeanusingdoublesampling AT khanmursala ratiochaintypeexponentialestimatorforfinitepopulationmeanusingdoublesampling |