Multivariate random effect models with complete and incomplete data

DOI10.1016/J.JMVA.2012.02.014zbMath1241.62093OpenAlexW1969191369MaRDI QIDQ432309

James O. Chipperfield, David G. Steel

Publication date: 4 July 2012

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2012.02.014

zbMATH Keywords

EM algorithmmaximum likelihoodmissing datahierarchical likelihood

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Analysis of variance and covariance (ANOVA) (62J10)

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Cites Work

• That BLUP is a good thing: The estimation of random effects. With comments and a rejoinder by the author
• Using Hierarchical Likelihood for Missing Data Problems
• A Random-Effects Model for Multiple Characteristics With Possibly Missing Data
• Analysis of Survey Data
• Maximum Likelihood Inference from Sample Survey Data
• Generalized Linear Models with Random Effects
• Recovery of inter-block information when block sizes are unequal
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