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Mathematics - Probability Theory and Stochastic Processes | Growth Curve Models and Statistical Diagnostics

Growth Curve Models and Statistical Diagnostics

Pan, Jian-Xin, Fang, Kai-Tai

Jointly published with Science Press, Beijing, China

2002, XVII, 388 p.

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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.

Content Level » Research

Keywords » Fitting - Growth Curve Models - Likelihood - MATLAB - Multivariate Analysis - Statistical Diagnostics - Variance - calculus - data analysis - linear regression - mathematical statistics - sets - statistics

Related subjects » Life Sciences, Medicine & Health - Probability Theory and Stochastic Processes - Statistical Theory and Methods

Table of contents 

Introduction * Generalized Least Square Estimation * Maximum Likelihood Estimation * Discordant Outlier and Influential Observation * Likelihood-Based Local Influence * Bayesian Influence Assessment * Bayesian Local Influence

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Distribution rights for China: Science Press, Beijing, China

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