Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/105039
DC FieldValue
dc.titleBayesian estimates in a one-way ANOVA random effects model
dc.contributor.authorBian, G.
dc.date.accessioned2014-10-28T05:10:32Z
dc.date.available2014-10-28T05:10:32Z
dc.date.issued2002-03
dc.identifier.citationBian, G. (2002-03). Bayesian estimates in a one-way ANOVA random effects model. Australian and New Zealand Journal of Statistics 44 (1) : 99-108. ScholarBank@NUS Repository.
dc.identifier.issn13691473
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/105039
dc.description.abstractBayesian estimators of variance components are developed, based on posterior mean and posterior mode, respectively, in a one-way ANOVA random effects model with independent prior distributions. The formulas for the proposed estimators are simple. The estimators give sensible results for 'badly-behaved' datasets, where the standard unbiased estimates are negative. They are markedly robust as compared to the existing estimators such as the maximum likelihood estimators and the maximum posterior density estimators.
dc.sourceScopus
dc.subjectBayes risk estimators
dc.subjectHPD estimators
dc.subjectIndependent priors
dc.subjectPoly-t density
dc.typeArticle
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.description.sourcetitleAustralian and New Zealand Journal of Statistics
dc.description.volume44
dc.description.issue1
dc.description.page99-108
dc.identifier.isiutNOT_IN_WOS
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