Consistent estimation of regression parameters under replicated ultrastructural model with non-normal errors

DOI10.1080/00949650701748556zbMath1169.62014OpenAlexW2120894730MaRDI QIDQ3636725

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Publication date: 29 June 2009

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949650701748556

zbMATH Keywords

tablesmeasurement errorsultrastructural modelnon-normal distributionreplicated datadirect regressionreverse regressiondensity plots

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Linear regression; mixed models (62J05) Monte Carlo methods (65C05)

Related Items (5)

Copula-based measurement error models ⋮ Using stochastic prior information in consistent estimation of regression coefficients in replicated measurement error model ⋮ Unnamed Item ⋮ Replicated measurement error model under exact linear restrictions ⋮ Immaculating the inconsistent estimator of slope parameter in measurement error model with replicated data

Cites Work

• Unnamed Item
• Consistent estimation for the non-normal ultrastructural model
• Consistent Sets of Estimates for Regressions with Errors in All Variables
• A note on G. R. Dolby's unreplicated ultrastructural model
• The relevance of large sample properties of estimators for the errors-in-variables model:a monte carlo study
• On the unreplicated ultrastructural model
• The ultrastructural relation: A synthesis of the functional and structural relations
• Alternative covariance estimates in a replicated measurement error model with correlated, heteroscedastic errors
• Prediction in the Presence of Measurement Error: General Discussion and an Example Predicting Defoliation
• Likelihood analysis for errors-in-variables regression with replicate measurements
• On the usefulness of knowledge of error variances in the consistent estimation of an unreplicated ultrastructural model

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