Estimation of structural equation models with exact and stochastic prior information

DOI10.1080/03610928808829699zbMath0659.62063OpenAlexW2056548101MaRDI QIDQ3809048

Sik-Yum Lee

Publication date: 1988

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610928808829699

zbMATH Keywords

iterative algorithmmaximum likelihoodprior informationstructural equation modelsgeneralized least squarestochastic constraints

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Applications of statistics to economics (62P20) Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) General nonlinear regression (62J02)

Related Items (2)

Analysis of multisample identified and non-identified structural equation models with stochastic constraints ⋮ Sensitivity analysis of structural equation models with equality functional constraints

Uses Software

• LISREL

Cites Work

• Some contributions to efficient statistics in structural models: Specification and estimation of moment structures
• A study of algorithms for covariance structure analysis with specific comparisons using factor analysis
• A Bayesian approach to confirmatory factor analysis
• Covariance structure analysis in several populations
• Multiplier methods: A survey
• Structural analysis of covariance and correlation matrices
• Econometrics and psychometrics: A survey of communalities
• A Method of Generating Best Asymptotically Normal Estimates with Application to the Estimation of Bacterial Densities
• Maximum-Likelihood Estimation of Parameters Subject to Restraints
• On testing functional constraints in structural equation models
• The multiplier method in constrained estimation of covariance structure models
• On the Use of Incomplete Prior Information in Regression Analysis

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