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dc.titleBayesian estimates in a one-way ANOVA random effects model
dc.contributor.authorBian, G.
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.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.subjectBayes risk estimators
dc.subjectHPD estimators
dc.subjectIndependent priors
dc.subjectPoly-t density
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.description.sourcetitleAustralian and New Zealand Journal of Statistics
Appears in Collections:Staff Publications

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