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A Class of Ratio Estimators of a Finite Population Mean Using Two Auxiliary Variables
In sample surveys, it is usual to increase the efficiency of the estimators by the use of the auxiliary information. We propose a class of ratio estimators of a finite population mean using two auxiliary variables and obtain mean square error (MSE) equations for the class of proposed estimators. We...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3933591/ https://www.ncbi.nlm.nih.gov/pubmed/24586855 http://dx.doi.org/10.1371/journal.pone.0089538 |
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author | Lu, Jingli Yan, Zaizai |
author_facet | Lu, Jingli Yan, Zaizai |
author_sort | Lu, Jingli |
collection | PubMed |
description | In sample surveys, it is usual to increase the efficiency of the estimators by the use of the auxiliary information. We propose a class of ratio estimators of a finite population mean using two auxiliary variables and obtain mean square error (MSE) equations for the class of proposed estimators. We find theoretical conditions that make proposed family estimators more efficient than the traditional ratio estimator and the estimators proposed by Abu-Dayeh et al. using two auxiliary variables. In addition, we support these theoretical results with the aid of a numerical example. |
format | Online Article Text |
id | pubmed-3933591 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39335912014-02-25 A Class of Ratio Estimators of a Finite Population Mean Using Two Auxiliary Variables Lu, Jingli Yan, Zaizai PLoS One Research Article In sample surveys, it is usual to increase the efficiency of the estimators by the use of the auxiliary information. We propose a class of ratio estimators of a finite population mean using two auxiliary variables and obtain mean square error (MSE) equations for the class of proposed estimators. We find theoretical conditions that make proposed family estimators more efficient than the traditional ratio estimator and the estimators proposed by Abu-Dayeh et al. using two auxiliary variables. In addition, we support these theoretical results with the aid of a numerical example. Public Library of Science 2014-02-24 /pmc/articles/PMC3933591/ /pubmed/24586855 http://dx.doi.org/10.1371/journal.pone.0089538 Text en © 2014 Lu, Yan http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Lu, Jingli Yan, Zaizai A Class of Ratio Estimators of a Finite Population Mean Using Two Auxiliary Variables |
title | A Class of Ratio Estimators of a Finite Population Mean Using Two Auxiliary Variables |
title_full | A Class of Ratio Estimators of a Finite Population Mean Using Two Auxiliary Variables |
title_fullStr | A Class of Ratio Estimators of a Finite Population Mean Using Two Auxiliary Variables |
title_full_unstemmed | A Class of Ratio Estimators of a Finite Population Mean Using Two Auxiliary Variables |
title_short | A Class of Ratio Estimators of a Finite Population Mean Using Two Auxiliary Variables |
title_sort | class of ratio estimators of a finite population mean using two auxiliary variables |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3933591/ https://www.ncbi.nlm.nih.gov/pubmed/24586855 http://dx.doi.org/10.1371/journal.pone.0089538 |
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