Growth Curve Models and Statistical Diagnostics

✍ Scribed by Jian-Xin Pan, Kai-Tai Fang (auth.)

Publisher: Springer-Verlag New York
Year: 2002
Tongue: English
Leaves: 405
Series: Springer Series in Statistics
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-xvii
Introduction....Pages 1-37
Generalized Least Square Estimation....Pages 38-76
Maximum Likelihood Estimation....Pages 77-158
Discordant Outlier And Influential Observation....Pages 159-223
Likelihood-Based Local Influence....Pages 224-263
Bayesian Influence Assessment....Pages 264-307
Bayesian Local Influence....Pages 308-352
Back Matter....Pages 353-388

✦ Subjects

Statistical Theory and Methods; Statistics for Life Sciences, Medicine, Health Sciences

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