Modeling of covariance structures of random effects and random errors in linear mixed models

DOI10.1080/03610926.2015.1089290zbMath1383.62055OpenAlexW2322582184MaRDI QIDQ2815942

Yu Fei, Yating Pan, Yin Chen, Jian-Xin Pan

Publication date: 30 June 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2015.1089290

zbMATH Keywords

longitudinal datalinear mixed modelscovariance modelingexpectation-maximization (EM) algorithm

Mathematics Subject Classification ID

Point estimation (62F10) Linear inference, regression (62J99)

Related Items (1)

Parametrizations, weights, and optimal prediction

Cites Work

• Random-Effects Models for Longitudinal Data
• On the convergence properties of the EM algorithm
• On modelling mean-covariance structures in longitudinal studies
• Maximum likelihood estimation of generalised linear models for multivariate normal covariance matrix
• Informative Drop-Out in Longitudinal Data Analysis
• Joint mean-covariance models with applications to longitudinal data: unconstrained parameterisation
• Linear mixed models for longitudinal data

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