Some Improved Ratio, Product, and Regression Estimators of Finite Population Mean When Using Minimum and Maximum Values

Efficient estimation of finite population mean is carried out by using the auxiliary information meaningfully. In this paper we have suggested some modified ratio, product, and regression type estimators when using minimum and maximum values. Expressions for biases and mean squared errors of the sug...

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Main Authors: Manzoor Khan, Javid Shabbir
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/431868
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author Manzoor Khan
Javid Shabbir
author_facet Manzoor Khan
Javid Shabbir
author_sort Manzoor Khan
collection DOAJ
description Efficient estimation of finite population mean is carried out by using the auxiliary information meaningfully. In this paper we have suggested some modified ratio, product, and regression type estimators when using minimum and maximum values. Expressions for biases and mean squared errors of the suggested estimators have been derived up to the first order of approximation. The performances of the suggested estimators, relative to their usual counterparts, have been studied, and improved performance has been established. The improvement in efficiency by making use of maximum and minimum values has been verified numerically.
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institution Kabale University
issn 1537-744X
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-20b40ed7072c4261895ae381c8162b2c2025-02-03T05:45:56ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/431868431868Some Improved Ratio, Product, and Regression Estimators of Finite Population Mean When Using Minimum and Maximum ValuesManzoor Khan0Javid Shabbir1Department of Statistics, Quaid-i-Azam University, Islamabad 45320, PakistanDepartment of Statistics, Quaid-i-Azam University, Islamabad 45320, PakistanEfficient estimation of finite population mean is carried out by using the auxiliary information meaningfully. In this paper we have suggested some modified ratio, product, and regression type estimators when using minimum and maximum values. Expressions for biases and mean squared errors of the suggested estimators have been derived up to the first order of approximation. The performances of the suggested estimators, relative to their usual counterparts, have been studied, and improved performance has been established. The improvement in efficiency by making use of maximum and minimum values has been verified numerically.http://dx.doi.org/10.1155/2013/431868
spellingShingle Manzoor Khan
Javid Shabbir
Some Improved Ratio, Product, and Regression Estimators of Finite Population Mean When Using Minimum and Maximum Values
The Scientific World Journal
title Some Improved Ratio, Product, and Regression Estimators of Finite Population Mean When Using Minimum and Maximum Values
title_full Some Improved Ratio, Product, and Regression Estimators of Finite Population Mean When Using Minimum and Maximum Values
title_fullStr Some Improved Ratio, Product, and Regression Estimators of Finite Population Mean When Using Minimum and Maximum Values
title_full_unstemmed Some Improved Ratio, Product, and Regression Estimators of Finite Population Mean When Using Minimum and Maximum Values
title_short Some Improved Ratio, Product, and Regression Estimators of Finite Population Mean When Using Minimum and Maximum Values
title_sort some improved ratio product and regression estimators of finite population mean when using minimum and maximum values
url http://dx.doi.org/10.1155/2013/431868
work_keys_str_mv AT manzoorkhan someimprovedratioproductandregressionestimatorsoffinitepopulationmeanwhenusingminimumandmaximumvalues
AT javidshabbir someimprovedratioproductandregressionestimatorsoffinitepopulationmeanwhenusingminimumandmaximumvalues