A mixed linear model with linear covariance structure: a sensitivity analysis of maximum likelihood estimators

DOI10.1080/00949658608810933zbMath0656.62062OpenAlexW1998011995MaRDI QIDQ3804011

Ronald W. Helms, Diane L. Fairclough

Publication date: 1986

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

Full work available at URL: https://doi.org/10.1080/00949658608810933

zbMATH Keywords

EM algorithmlongitudinal dataiterative methodsmethod of scoringerror covariance parametersmaximum likelihood estimates of mixed effects model parametersmissing and mistimed data

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Point estimation (62F10)

Cites Work

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• Random-Effects Models for Longitudinal Data
• Asymptotically efficient estimation of covariance matrices with linear structure
• A proposal for handling missing data
• The estimation of variance-covariance and correlation matrices from incomplete data
• Analysis of Incomplete Data from Longitudinal and Mixed Longitudinal Studies
• Growth curve analysis of complete and incomplete longitudinal data
• 385: On a Design Problem in Growth Studies
• Inference and missing data
• A generalized multivariate analysis of variance model useful especially for growth curve problems

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