학술논문

Parameter Estimation and Future Value Prediction of Generalized Growth Curve Model with Power Transformation, Random Effects and General AR(g) Dependence
Document Type
Article
Source
中國統計學報 / Journal of the Chinese Statistical Association. Vol. 43 Issue 4, p451-471. 21 p.
Subject
Approximation
Bayesian
longitudinal data
maximum likelihood
MCMC
real data
simulated data
Language
英文
Abstract
In this paper, we consider an extension of the covariance structure to an AR(g) process with random effects via Bayesian and maximum-likelihood (ML) approaches. We study both parameter estimation and prediction of future values. Numerical results are illustrated with real and simulated data.

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