On Improving Ratio/Product Estimator by Ratio/Product-cum-Mean-per-Unit Estimator Targeting More Efficient Use of Auxiliary Information

To achieve a more efficient use of auxiliary information we propose single-parameter ratio/product-cum-mean-per-unit estimators for a finite population mean in a simple random sample without replacement when the magnitude of the correlation coefficient is not very high (less than or equal to 0.7). T...

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Main Authors: Angela Shirley, Ashok Sahai, Isaac Dialsingh
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2014/360549
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author Angela Shirley
Ashok Sahai
Isaac Dialsingh
author_facet Angela Shirley
Ashok Sahai
Isaac Dialsingh
author_sort Angela Shirley
collection DOAJ
description To achieve a more efficient use of auxiliary information we propose single-parameter ratio/product-cum-mean-per-unit estimators for a finite population mean in a simple random sample without replacement when the magnitude of the correlation coefficient is not very high (less than or equal to 0.7). The first order large sample approximation to the bias and the mean square error of our proposed estimators are obtained. We use simulation to compare our estimators with the well-known sample mean, ratio, and product estimators, as well as the classical linear regression estimator for efficient use of auxiliary information. The results are conforming to our motivating aim behind our proposition.
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institution Kabale University
issn 1687-952X
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publishDate 2014-01-01
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spelling doaj-art-7ed1649dbc9545c287fd04ca4692bbe62025-02-03T05:45:26ZengWileyJournal of Probability and Statistics1687-952X1687-95382014-01-01201410.1155/2014/360549360549On Improving Ratio/Product Estimator by Ratio/Product-cum-Mean-per-Unit Estimator Targeting More Efficient Use of Auxiliary InformationAngela Shirley0Ashok Sahai1Isaac Dialsingh2Department of Mathematics and Statistics, Faculty of Science and Technology, The University of the West Indies St Augustine, St. Augustine, Trinidad and TobagoDepartment of Mathematics and Statistics, Faculty of Science and Technology, The University of the West Indies St Augustine, St. Augustine, Trinidad and TobagoDepartment of Mathematics and Statistics, Faculty of Science and Technology, The University of the West Indies St Augustine, St. Augustine, Trinidad and TobagoTo achieve a more efficient use of auxiliary information we propose single-parameter ratio/product-cum-mean-per-unit estimators for a finite population mean in a simple random sample without replacement when the magnitude of the correlation coefficient is not very high (less than or equal to 0.7). The first order large sample approximation to the bias and the mean square error of our proposed estimators are obtained. We use simulation to compare our estimators with the well-known sample mean, ratio, and product estimators, as well as the classical linear regression estimator for efficient use of auxiliary information. The results are conforming to our motivating aim behind our proposition.http://dx.doi.org/10.1155/2014/360549
spellingShingle Angela Shirley
Ashok Sahai
Isaac Dialsingh
On Improving Ratio/Product Estimator by Ratio/Product-cum-Mean-per-Unit Estimator Targeting More Efficient Use of Auxiliary Information
Journal of Probability and Statistics
title On Improving Ratio/Product Estimator by Ratio/Product-cum-Mean-per-Unit Estimator Targeting More Efficient Use of Auxiliary Information
title_full On Improving Ratio/Product Estimator by Ratio/Product-cum-Mean-per-Unit Estimator Targeting More Efficient Use of Auxiliary Information
title_fullStr On Improving Ratio/Product Estimator by Ratio/Product-cum-Mean-per-Unit Estimator Targeting More Efficient Use of Auxiliary Information
title_full_unstemmed On Improving Ratio/Product Estimator by Ratio/Product-cum-Mean-per-Unit Estimator Targeting More Efficient Use of Auxiliary Information
title_short On Improving Ratio/Product Estimator by Ratio/Product-cum-Mean-per-Unit Estimator Targeting More Efficient Use of Auxiliary Information
title_sort on improving ratio product estimator by ratio product cum mean per unit estimator targeting more efficient use of auxiliary information
url http://dx.doi.org/10.1155/2014/360549
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AT ashoksahai onimprovingratioproductestimatorbyratioproductcummeanperunitestimatortargetingmoreefficientuseofauxiliaryinformation
AT isaacdialsingh onimprovingratioproductestimatorbyratioproductcummeanperunitestimatortargetingmoreefficientuseofauxiliaryinformation