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Bayesian analysis of growth curves with AR(1) dependence

dc.citation.epage229en_US
dc.citation.issue2en_US
dc.citation.spage205en_US
dc.citation.volume64en_US
dc.citation.woscount3
dc.contributor.authorLee, JCen_US
dc.contributor.authorHsu, YLen_US
dc.contributor.department統計學研究所zh_TW
dc.contributor.departmentInstitute of Statisticsen_US
dc.date.accessioned2014-12-08T15:01:19Z
dc.date.available2014-12-08T15:01:19Z
dc.date.issued1997-11-15en_US
dc.description.abstractIn this paper we consider Bayesian analysis of the generalized growth curve model when the covariance matrix Sigma = sigma(2)C where C=(rho(i-j)), sigma(2) > 0 and -1 < rho < 1 are unknown. We consider both parameter estimation and prediction of future values. Results are illustrated with real and simulated data. (C) 1997 Elsevier Science B.V.en_US
dc.identifier.issn0378-3758en_US
dc.identifier.journalJOURNAL OF STATISTICAL PLANNING AND INFERENCEen_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/188
dc.identifier.wosnumberWOS:000071395800002
dc.language.isoen_USen_US
dc.subjectpredictionsen_US
dc.subjectnoninformative priorsen_US
dc.subjecttrace T distributionen_US
dc.titleBayesian analysis of growth curves with AR(1) dependenceen_US
dc.typeArticleen_US

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