Identifiability of linear mixed effects models
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Publication:1951110
DOI10.1214/13-EJS770zbMath1337.62182MaRDI QIDQ1951110
Publication date: 29 May 2013
Published in: Electronic Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://projecteuclid.org/euclid.ejs/1359041591
random effectsvariance componentsidentifiabilitycovariance matrix structureslinear mixed effects models
Generalized linear models (logistic models) (62J12) Linear inference, regression (62J99) Analysis of variance and covariance (ANOVA) (62J10)
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Uses Software
Cites Work
- Random-Effects Models for Longitudinal Data
- Linear mixed models in practice: a SAS-oriented approach
- Unbalanced Repeated-Measures Models with Structured Covariance Matrices
- Analysis of Repeated-Measurements Data from Randomized Block Experiments
- Newton-Raphson and EM Algorithms for Linear Mixed-Effects Models for Repeated-Measures Data
- Covariance structure selection in general mixed models
- Mixed-Effects Models in S and S-PLUS
- Mixed Models
- Linear mixed models for longitudinal data
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