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dc.contributor.advisorSun, Dongchueng
dc.contributor.authorMin, Xiaoyieng
dc.date.issued2012eng
dc.date.submitted2012 Falleng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on March 1, 2013).eng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionDissertation advisor: Dr. Dongchu Suneng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionVita.eng
dc.descriptionPh. D. University of Missouri--Columbia 2012.eng
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Statistics.eng
dc.description"December 2012"eng
dc.description.abstractFirst of all, for estimating the reliabilities in Weibull stress-strength models, some matching priors are derived based on a modi ed pro le likelihood. Simulation studies show that these matching priors perform well with small sample sizes. Next, a generalized Zellner's g-prior is proposed for model selection in linear models with grouped covariates. The marginal likelihood function and a simple closed form of it are derived. The issue of computing the Bayes factors is addressed, and the performance of the Bayes factors is examined by numerical studies. Finally, the Bayes factors under the proposed prior in some 2-way ANOVA models are proved to be consistent.eng
dc.format.extentviii, 117 pageseng
dc.identifier.oclc872569153eng
dc.identifier.urihttps://hdl.handle.net/10355/33075
dc.identifier.urihttps://doi.org/10.32469/10355/33075eng
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcollectionUniversity of Missouri--Columbia. Graduate School. Theses and Dissertations.eng
dc.subjectBayes factoreng
dc.subjectmodified profile likelihoodeng
dc.subjectstress-strength modeleng
dc.subjectWeibull distributioneng
dc.titleObjective Bayesian inference for stress-strength models and Bayesian ANOVAeng
dc.typeThesiseng
thesis.degree.disciplineStatistics (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelDoctoraleng
thesis.degree.namePh. D.eng


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