Introduction Generalized Least Square Estimation Maximum Likelihood Estimation Discordant Outlier and Influential Observation Likelihood-Based Local Influence Bayesian Influence Assessment Bayesian Local Influence
Introduction * Generalized Least Square Estimation * Maximum Likelihood Estimation * Discordant Outlier and Influential Observation * Likelihood-Based Local Influence * Bayesian Influence Assessment * Bayesian Local Influence
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. Provided are complete proofs of theorems as well as practical data sets and MATLAB code.
Growth curve models are an active research area in multivariate analysis with applications to economics, biology, medical research, and epidemiology. This monograph by two of the leading researchers in the area discusses both theoretical and practical aspects.