On the estimation of the linear relation when the error variances are known

DOI10.1016/j.csda.2007.06.018zbMath1452.62510OpenAlexW2110911196MaRDI QIDQ1019197

H. Shalabh, Hans Schneeweiss

Publication date: 2 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2007.06.018

zbMATH Keywords

ultrastructural modelmeasurement error modelsnon-normal errors

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Linear regression; mixed models (62J05)

Related Items (4)

Development of a first order integrated moving average model corrupted with a Markov modulated convex combination of autoregressive moving average errors ⋮ Restricted estimation and testing of hypothesis in linear measurement errors models ⋮ On the estimation of the linear relation when the error variances are known ⋮ Editorial: Total least squares and errors-in-variables modeling

Cites Work

• On the estimation of the linear relation when the error variances are known
• Consistent estimation of a regression with errors in the variables
• Consistent estimation for the non-normal ultrastructural model
• Estimators of slopes in linear errors-in-variables regression models when the predictors have known reliability matrix
• The Importance of Assessing Measurement Reliability in Multivariate Regression
• The ultrastructural relation: A synthesis of the functional and structural relations
• On the usefulness of knowledge of error variances in the consistent estimation of an unreplicated ultrastructural model
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