On the usefulness of knowledge of error variances in the consistent estimation of an unreplicated ultrastructural model
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Publication:4832529
DOI10.1080/0094965031000122044zbMath1063.62097OpenAlexW2121469263MaRDI QIDQ4832529
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Publication date: 4 January 2005
Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/0094965031000122044
Related Items (8)
Consistent estimation of regression coefficients in ultrastructural measurement error model using stochastic prior information ⋮ Consistent Estimation of the Regression Coefficient Through Weighted Arithmetic Mean of the Inconsistent Estimators in Replicated Ultrastructural Model ⋮ Goodness of fit in restricted measurement error models ⋮ Immaculating the inconsistent estimator of slope parameter in measurement error model with replicated data ⋮ On the estimation of the linear relation when the error variances are known ⋮ Restricted regression estimation in measurement error models ⋮ Consistent estimation of regression parameters under replicated ultrastructural model with non-normal errors ⋮ Use of prior information in the consistent estimation of regression coefficients in measurement error models
Cites Work
- Improved estimation of the slope parameter in a linear ultrastructural model when measurement errors are not necessarily normal
- 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
- A note on G. R. Dolby's unreplicated ultrastructural model
- On the unreplicated ultrastructural model
- The unreplicated ultrastructural relation: Large sample properties
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