Publication:
Bayesian estimation for a constrained bivariate normal population

dc.contributor.authorNgamphol Sunthornworasirien_US
dc.contributor.authorMontip Tiensuwanen_US
dc.contributor.authorBimal K. Sinhaen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherUniversity of Maryland, Baltimore Countyen_US
dc.date.accessioned2018-07-12T02:34:38Z
dc.date.available2018-07-12T02:34:38Z
dc.date.issued2008-12-17en_US
dc.description.abstractIn this paper we derive Bayes estimates of the parameters of a bivariate normal population under the constraint of either a common mean or a common variance. Some environmental and medical applications are indicated. Results of a simulation study based on a small sample size to compare the maximum likelihood estimates and the Bayes estimates indicate that they are mostly equivalent. © 2008 IOS Press. All rights reserved.en_US
dc.identifier.citationModel Assisted Statistics and Applications. Vol.3, No.4 (2008), 305-316en_US
dc.identifier.issn15741699en_US
dc.identifier.other2-s2.0-57549091753en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/19412
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=57549091753&origin=inwarden_US
dc.subjectMathematicsen_US
dc.titleBayesian estimation for a constrained bivariate normal populationen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=57549091753&origin=inwarden_US

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