An Efficient General Family of Estimators for Population Mean in the Presence of Non-Response

This paper presents a new general family of estimators to estimate the population mean of study variable y in the presence of non-response when utilizing a known coefficient of variation of study variable y. The expressions for bias, mean squared error (MSE), and minimum mean squared error (MMSE) of...

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Main Authors: Thanapanang Rachokarn, Nuanpan Lawson
Format: Article
Language:English
Published: ITB Journal Publisher 2017-12-01
Series:Journal of Mathematical and Fundamental Sciences
Subjects:
Online Access:http://journals.itb.ac.id/index.php/jmfs/article/view/4692
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author Thanapanang Rachokarn
Nuanpan Lawson
author_facet Thanapanang Rachokarn
Nuanpan Lawson
author_sort Thanapanang Rachokarn
collection DOAJ
description This paper presents a new general family of estimators to estimate the population mean of study variable y in the presence of non-response when utilizing a known coefficient of variation of study variable y. The expressions for bias, mean squared error (MSE), and minimum mean squared error (MMSE) of the proposed family of estimators are derived up to the first degree of approximation. In addition, a numerical example and a simulation study are presented to explain the performance of the proposed estimators. It was shown that the proposed estimators perform better compared to all other relevant estimators.
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spelling doaj.art-a6533f1309f546e6b8020ac2d50643c12022-12-22T02:31:27ZengITB Journal PublisherJournal of Mathematical and Fundamental Sciences2337-57602338-55102017-12-0149328329310.5614/j.math.fund.sci.2017.49.3.6An Efficient General Family of Estimators for Population Mean in the Presence of Non-ResponseThanapanang Rachokarn0Nuanpan Lawson 1Department of Applied Statistics, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, ThailandDepartment of Applied Statistics, Faculty of Applied Science, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, ThailandThis paper presents a new general family of estimators to estimate the population mean of study variable y in the presence of non-response when utilizing a known coefficient of variation of study variable y. The expressions for bias, mean squared error (MSE), and minimum mean squared error (MMSE) of the proposed family of estimators are derived up to the first degree of approximation. In addition, a numerical example and a simulation study are presented to explain the performance of the proposed estimators. It was shown that the proposed estimators perform better compared to all other relevant estimators.http://journals.itb.ac.id/index.php/jmfs/article/view/4692auxiliary variablesbiasmean squared errorratio estimatorstudy variables
spellingShingle Thanapanang Rachokarn
Nuanpan Lawson
An Efficient General Family of Estimators for Population Mean in the Presence of Non-Response
Journal of Mathematical and Fundamental Sciences
auxiliary variables
bias
mean squared error
ratio estimator
study variables
title An Efficient General Family of Estimators for Population Mean in the Presence of Non-Response
title_full An Efficient General Family of Estimators for Population Mean in the Presence of Non-Response
title_fullStr An Efficient General Family of Estimators for Population Mean in the Presence of Non-Response
title_full_unstemmed An Efficient General Family of Estimators for Population Mean in the Presence of Non-Response
title_short An Efficient General Family of Estimators for Population Mean in the Presence of Non-Response
title_sort efficient general family of estimators for population mean in the presence of non response
topic auxiliary variables
bias
mean squared error
ratio estimator
study variables
url http://journals.itb.ac.id/index.php/jmfs/article/view/4692
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