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Comparison of the population variance estimators of 2-parameter exponential distribution based on multiple criteria decision making method

dc.contributor.authorS. Lertprapaien_US
dc.contributor.authorM. Tiensuwanen_US
dc.contributor.otherBurapha Universityen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherSouth Carolina Commission on Higher Educationen_US
dc.date.accessioned2018-10-19T05:09:43Z
dc.date.available2018-10-19T05:09:43Z
dc.date.issued2013-04-24en_US
dc.description.abstractIn this paper we study the problems of estimation for the population variance,θ2 in 2-parameter exponential distribution. In 2-parameter exponential distribution, the estimates parameters are where q = ±1,±2 . The purpose of this study is to compare the estimators of θ2 based on the Multiple Criteria Decision Making (MCDM) procedure to obtain the best estimator. The results reveal that the best estimator of θ2 in 2-parameter exponential distribution is θ̂22(-1). © 2013 S. Lertprapai and M. Tiensuwan.en_US
dc.identifier.citationApplied Mathematical Sciences. Vol.7, No.45-48 (2013), 2307-2320en_US
dc.identifier.issn1312885Xen_US
dc.identifier.other2-s2.0-84876384277en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/32024
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84876384277&origin=inwarden_US
dc.subjectMathematicsen_US
dc.titleComparison of the population variance estimators of 2-parameter exponential distribution based on multiple criteria decision making methoden_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84876384277&origin=inwarden_US

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