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Bayesian analysis of a general growth curve model with predictions using power transformations and AR(1) autoregressive dependence

dc.citation.epage336en_US
dc.citation.issue3en_US
dc.citation.spage321en_US
dc.citation.volume27en_US
dc.citation.woscount3
dc.contributor.authorLee, JCen_US
dc.contributor.authorLiu, KCen_US
dc.contributor.department統計學研究所zh_TW
dc.contributor.departmentInstitute of Statisticsen_US
dc.date.accessioned2014-12-08T15:45:36Z
dc.date.available2014-12-08T15:45:36Z
dc.date.issued2000-03-01en_US
dc.description.abstractIn this paper, we consider a Bayesian analysis of the unbalanced (general) growth curve model with AR(1) autoregressive dependence, while applying the Box-Cox power transformations. We propose exact, simple and Markov chain Monte Carlo approximate parameter estimation and prediction of future values. Numerical results are illustrated with real and simulated data.en_US
dc.identifier.issn0266-4763en_US
dc.identifier.journalJOURNAL OF APPLIED STATISTICSen_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/30680
dc.identifier.wosnumberWOS:000086354400005
dc.language.isoen_USen_US
dc.titleBayesian analysis of a general growth curve model with predictions using power transformations and AR(1) autoregressive dependenceen_US
dc.typeArticleen_US

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