Comparison and robustness of the REML, ML, MIVQUE estimators for multi-level random mediation model

DOI10.1080/02664763.2016.1221904OpenAlexW2508301718MaRDI QIDQ5138653

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Publication date: 4 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2016.1221904

zbMATH Keywords

maximum likelihoodrestricted maximum likelihoodminimum variance quadratic unbiased estimationmulti-level random mediation model

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• Stata
• SASmixed
• gformula

Cites Work

• A fast scoring algorithm for maximum likelihood estimation in unbalanced mixed models with nested random effects
• On the Exact Variance of Products
• Monte Carlo Comparison of ANOVA, MIVQUE, REML, and ML Estimators of Variance Components
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• On elliptical multilevel models
• Generalized Estimation of the BLUP in Mixed-Effects Models: A Comparison with ML and REML
• Recovery of inter-block information when block sizes are unequal
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