A note on the simple structural regression model

DOI10.1007/BF00049293zbMath0857.62066OpenAlexW2061265673MaRDI QIDQ1817413

Reinaldo B. Arellano-Valle, Heleno Bolfarine

Publication date: 1 December 1996

Published in: Annals of the Institute of Statistical Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00049293

zbMATH Keywords

information matrixlikelihood ratio statisticsmaximum likelihood estimatorsmeasurement errorsBartlett correction factorsorthogonal parametrizationssimple structural regression modelstructural normal model

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Linear regression; mixed models (62J05) Hypothesis testing in multivariate analysis (62H15)

Related Items

Hypotheses testing for structural calibration model, Errors-in-variables beta regression models, Hypothesis testing in the unrestricted and restricted parametric spaces of structural models, Local Influence in Comparative Calibration Models

Cites Work

• Estimation of a structural linear regression model with a known reliability ratio
• A predictivistic interpretation of the multivariate \(t\)-distribution
• A GENERAL METHOD FOR APPROXIMATING TO THE DISTRIBUTION OF LIKELIHOOD RATIO CRITERIA
• Likelihood estimation of a simple linear regression model when both variables have error
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