A bound for the Euclidean distance between restricted and unrestricted estimators of parametric functions in the general linear model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
http://link.springer.com/content/pdf/10.1007/s00362-010-0336-3.pdf
Reference8 articles.
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2. Baksalary JK, Pordzik PR (1989) Inverse-partitioned-matrix method for the general Gauss-Markov model with linear restrictions. J Stat Plan Inference 23: 133–143
3. Baksalary JK, Pordzik PR (1992) Implied linear restrictions in the general Gauss-Markov model. J Stat Plan Inference 30: 237–248
4. Mäkinen J (2000) Bounds for the difference between a linear unbiased estimate and the best linear unbiased estimate. Phys Chem Earth A 25: 693–698
5. Mäkinen J (2002) A bound for the Euclidean norm of the difference between the best linear unbiased estimator and a linear unbiased estimator. J Geodesy 76: 317–322
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