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Bayesian analysis of a general growth curve model with predictions using power transformations and AR(1) autoregressive dependence
Jack Lee and
, 2000, vol. 27, issue 3, pages 321-336
Journal of Applied Statistics 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.
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Persistent link: http://EconPapers.repec.org/RePEc:taf:japsta:v:27:y:2000:i:3:p:321-336
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