Parameter Estimation and Future Value Prediction of Generalized Growth Curve Model with Power Transformation, Random Effects and General AR(g) Dependence

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.