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Bayesian analysis of a growth curve model with a general autoregressive covariance structure

dc.citation.epage713en_US
dc.citation.issue4en_US
dc.citation.spage703en_US
dc.citation.volume27en_US
dc.citation.woscount3
dc.contributor.authorLee, JCen_US
dc.contributor.authorChang, CHen_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.date.accessioned2014-12-08T15:44:34Z
dc.date.available2014-12-08T15:44:34Z
dc.date.issued2000-12-01en_US
dc.description.abstractIn this paper wt: consider from maximum likelihood and Bayesian points of view the generalized growth curve model when the covariance matrix has a Toeplitz structure. This covariance is a generalization of the AR(I) dependence structure. Inferences on the parameters as well as the future values are Included. The results are illustrated with several real data sets.en_US
dc.identifier.issn0303-6898en_US
dc.identifier.journalSCANDINAVIAN JOURNAL OF STATISTICSen_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/30091
dc.identifier.wosnumberWOS:000165546100009
dc.language.isoen_USen_US
dc.subjectbanded covarianceen_US
dc.subjectBayesianen_US
dc.subjectexact and approximate distributionsen_US
dc.subjectmaximum likelihood estimatesen_US
dc.subjectMCMCen_US
dc.subjectnon-informative prioren_US
dc.subjectpredictionen_US
dc.subjectToeplitz structureen_US
dc.titleBayesian analysis of a growth curve model with a general autoregressive covariance structureen_US
dc.typeArticleen_US

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