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

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DC Field	Value	Language
dc.contributor.author	Lee, JC	en_US
dc.contributor.author	Liu, KC	en_US
dc.date.accessioned	2014-12-08T15:45:36Z	-
dc.date.available	2014-12-08T15:45:36Z	-
dc.date.issued	2000-03-01	en_US
dc.identifier.issn	0266-4763	en_US
dc.identifier.uri	http://hdl.handle.net/11536/30680	-
dc.description.abstract	In 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.language.iso	en_US	en_US
dc.title	Bayesian analysis of a general growth curve model with predictions using power transformations and AR(1) autoregressive dependence	en_US
dc.type	Article	en_US
dc.identifier.journal	JOURNAL OF APPLIED STATISTICS	en_US
dc.citation.volume	27	en_US
dc.citation.issue	3	en_US
dc.citation.spage	321	en_US
dc.citation.epage	336	en_US
dc.contributor.department	統計學研究所	zh_TW
dc.contributor.department	Institute of Statistics	en_US
dc.identifier.wosnumber	WOS:000086354400005	-
dc.citation.woscount	3	-
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