Pan J.-X., Fang K.-T. Growth Curve Models and Statistical Diagnostics

New York: Springer, 2002. — 405 p.Growth-curve models are generalized multivariate analysis-of-variance models. These models are especially useful for investigating growth problems on short times in economics, biology, medical research, and epidemiology. This book systematically introduces the theory of the GCM with particular emphasis on their multivariate statistical diagnostics, which are based mainly on recent developments made by the authors and their collaborators. The authors provide complete proofs of theorems as well as practical data sets and MatLAB code.Generalized Least Square Estimation
Maximum Likelihood Estimation
Discordant Outlier And Influential Observation
Likelihood-Based Local Influence
Bayesian Influence Assessment
Bayesian Local Influence