Estimation of Finite Population Mean in Multivariate Stratified Sampling under Cost Function Using Goal Programming

In practical utilization of stratified random sampling scheme, the investigator meets a problem to select a sample that maximizes the precision of a finite population mean under cost constraint. An allocation of sample size becomes complicated when more than one characteristic is observed from each...

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Main Authors: Atta Ullah, Javid Shabbir, Zawar Hussain, Bander Al-Zahrani
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/686579
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author Atta Ullah
Javid Shabbir
Zawar Hussain
Bander Al-Zahrani
author_facet Atta Ullah
Javid Shabbir
Zawar Hussain
Bander Al-Zahrani
author_sort Atta Ullah
collection DOAJ
description In practical utilization of stratified random sampling scheme, the investigator meets a problem to select a sample that maximizes the precision of a finite population mean under cost constraint. An allocation of sample size becomes complicated when more than one characteristic is observed from each selected unit in a sample. In many real life situations, a linear cost function of a sample size nh is not a good approximation to actual cost of sample survey when traveling cost between selected units in a stratum is significant. In this paper, sample allocation problem in multivariate stratified random sampling with proposed cost function is formulated in integer nonlinear multiobjective mathematical programming. A solution procedure is proposed using extended lexicographic goal programming approach. A numerical example is presented to illustrate the computational details and to compare the efficiency of proposed compromise allocation.
format Article
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institution Kabale University
issn 1110-757X
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language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-200d793dc35747cba00465263457c3572025-02-03T05:48:38ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/686579686579Estimation of Finite Population Mean in Multivariate Stratified Sampling under Cost Function Using Goal ProgrammingAtta Ullah0Javid Shabbir1Zawar Hussain2Bander Al-Zahrani3Department of Mathematics, Comsats Institute of Information Technology, Attock 43600, PakistanDepartment of Statistics, Quaid-i-Azam University, Islamabad 45320, PakistanDepartment of Statistics, Quaid-i-Azam University, Islamabad 45320, PakistanDepartment of Statistics, King Abdulaziz University, Jeddah 21589, Saudi ArabiaIn practical utilization of stratified random sampling scheme, the investigator meets a problem to select a sample that maximizes the precision of a finite population mean under cost constraint. An allocation of sample size becomes complicated when more than one characteristic is observed from each selected unit in a sample. In many real life situations, a linear cost function of a sample size nh is not a good approximation to actual cost of sample survey when traveling cost between selected units in a stratum is significant. In this paper, sample allocation problem in multivariate stratified random sampling with proposed cost function is formulated in integer nonlinear multiobjective mathematical programming. A solution procedure is proposed using extended lexicographic goal programming approach. A numerical example is presented to illustrate the computational details and to compare the efficiency of proposed compromise allocation.http://dx.doi.org/10.1155/2014/686579
spellingShingle Atta Ullah
Javid Shabbir
Zawar Hussain
Bander Al-Zahrani
Estimation of Finite Population Mean in Multivariate Stratified Sampling under Cost Function Using Goal Programming
Journal of Applied Mathematics
title Estimation of Finite Population Mean in Multivariate Stratified Sampling under Cost Function Using Goal Programming
title_full Estimation of Finite Population Mean in Multivariate Stratified Sampling under Cost Function Using Goal Programming
title_fullStr Estimation of Finite Population Mean in Multivariate Stratified Sampling under Cost Function Using Goal Programming
title_full_unstemmed Estimation of Finite Population Mean in Multivariate Stratified Sampling under Cost Function Using Goal Programming
title_short Estimation of Finite Population Mean in Multivariate Stratified Sampling under Cost Function Using Goal Programming
title_sort estimation of finite population mean in multivariate stratified sampling under cost function using goal programming
url http://dx.doi.org/10.1155/2014/686579
work_keys_str_mv AT attaullah estimationoffinitepopulationmeaninmultivariatestratifiedsamplingundercostfunctionusinggoalprogramming
AT javidshabbir estimationoffinitepopulationmeaninmultivariatestratifiedsamplingundercostfunctionusinggoalprogramming
AT zawarhussain estimationoffinitepopulationmeaninmultivariatestratifiedsamplingundercostfunctionusinggoalprogramming
AT banderalzahrani estimationoffinitepopulationmeaninmultivariatestratifiedsamplingundercostfunctionusinggoalprogramming