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Estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors
In this study, we propose a new improved estimator of population mean for the sensitive variable in the presence of measurement error under simple and stratified random sampling. This estimator accounts the auxiliary information as well as the ranks of the auxiliary variable. From theoretical and nu...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370250/ https://www.ncbi.nlm.nih.gov/pubmed/30742674 http://dx.doi.org/10.1371/journal.pone.0212111 |
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author | Zahid, Erum Shabbir, Javid |
author_facet | Zahid, Erum Shabbir, Javid |
author_sort | Zahid, Erum |
collection | PubMed |
description | In this study, we propose a new improved estimator of population mean for the sensitive variable in the presence of measurement error under simple and stratified random sampling. This estimator accounts the auxiliary information as well as the ranks of the auxiliary variable. From theoretical and numerical studies it is shown that a new improved estimator performs better than the existing estimators under study. |
format | Online Article Text |
id | pubmed-6370250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-63702502019-02-22 Estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors Zahid, Erum Shabbir, Javid PLoS One Research Article In this study, we propose a new improved estimator of population mean for the sensitive variable in the presence of measurement error under simple and stratified random sampling. This estimator accounts the auxiliary information as well as the ranks of the auxiliary variable. From theoretical and numerical studies it is shown that a new improved estimator performs better than the existing estimators under study. Public Library of Science 2019-02-11 /pmc/articles/PMC6370250/ /pubmed/30742674 http://dx.doi.org/10.1371/journal.pone.0212111 Text en © 2019 Zahid, Shabbir http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Zahid, Erum Shabbir, Javid Estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors |
title | Estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors |
title_full | Estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors |
title_fullStr | Estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors |
title_full_unstemmed | Estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors |
title_short | Estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors |
title_sort | estimation of finite population mean for a sensitive variable using dual auxiliary information in the presence of measurement errors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370250/ https://www.ncbi.nlm.nih.gov/pubmed/30742674 http://dx.doi.org/10.1371/journal.pone.0212111 |
work_keys_str_mv | AT zahiderum estimationoffinitepopulationmeanforasensitivevariableusingdualauxiliaryinformationinthepresenceofmeasurementerrors AT shabbirjavid estimationoffinitepopulationmeanforasensitivevariableusingdualauxiliaryinformationinthepresenceofmeasurementerrors |