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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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