Constrained maximum likelihood estimation of two-level covariance structure model via EM type algorithms

DOI10.1007/BF02294565zbMath1291.62224MaRDI QIDQ2250685

Sin-Yu Tsang, Sik-Yum Lee

Publication date: 18 July 2014

Published in: Psychometrika (Search for Journal in Brave)

zbMATH Keywords

EM algorithmmissing datamultiplier methodlinear and nonlinear constraintsscoring iterationtwo-level covariance structure model

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (6)

Maximum likelihood estimation of nonlinear structural equation models ⋮ Analysis of structural equation model with ignorable missing continuous and polytomous data ⋮ On algorithms for restricted maximum likelihood estimation ⋮ Generalized multilevel structural equation modeling ⋮ Multilevel models for censored and latent responses ⋮ Constrained EM algorithm with projection method

Uses Software

• LISREL
• EQS
• BMDP

Cites Work

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• Covariance structure analysis in several populations
• Multiplier methods: A survey
• Factor analysis for clustered observations
• Linear structural equations with latent variables
• A general model for the analysis of multilevel data
• Multilevel analysis of structural equation models
• Estimation in Covariance Components Models
• Conjugate Gradient Acceleration of the EM Algorithm
• Maximum likelihood estimation for unbalanced multilevel covariance structure models via the EM algorithm
• The Restricted EM Algorithm for Maximum Likelihood Estimation Under Linear Restrictions on the Parameters
• Balanced versus unbalanced designs for linear structural relations in two‐level data

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