The effects of missing serial effects and/or heteroscedastic errors on mixed models using repeated growth data

DOI10.1080/00949655.2014.973412OpenAlexW1984645114MaRDI QIDQ5222293

Hsin-Yi Huang, Yueh-Hsing Ou, Chong Yau Fu

Publication date: 1 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2014.973412

zbMATH Keywords

heteroscedasticityvariance componentsmultilevel model (mixed model)repeated growth dataserial effectvariance partition coefficient

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• MLwiN
• runmlwin

Cites Work

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• On the behaviour of marginal and conditional AIC in linear mixed models
• Multilevel mixed linear model analysis using iterative generalized least squares
• Restricted unbiased iterative generalized least-squares estimation
• Model Selection and Multimodel Inference
• Linear mixed models for longitudinal data

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