Bayesian analysis of a general growth curve model with predictions using power transformations and AR(1) autoregressive dependence
作者:
JackC. Lee,
Kuo-Ching Liu,
期刊:
Journal of Applied Statistics
(Taylor Available online 2000)
卷期:
Volume 27,
issue 3
页码: 321-336
ISSN:0266-4763
年代: 2000
DOI:10.1080/02664760021637
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
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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