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This book discusses the theory of a growth curve model (GCM) with particular emphasis on statistical diagnostics, which is mainly based on recent work on diagnostics made by the authors and their collaborators. This book is intended for researchers who are working in the area of theoretical studies related to the GCM as well as multivariate statistical diagnostics, and for applied statisticians working in application of the GCM to practical areas.
Chapter 1 Introduction
Chapter 2 Generalized Least square Estimation
Chapter 3 Maximum Likelihood Estimation
Chapter 4 Discordant Outlier and Information Observation
Chapter 5 Likelihood-Based Local Influence
Chapter 6 Bayesian Influence Assessment
Chapter 7 Bayesian Local Influence
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