Softly unbiased estimation, Part 1 : The Gauss-Markov model

Linear Algebra and Its Applications

Volumn 289, Issue 1-3, 1999, Pages 285-296

  Schaffrin, Burkhard ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0033476204     PISSN: 00243795     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0024-3795(98)10208-2     Document Type: Article

References (7)

1. K.R. Koch, Parameter Estimation and Hypothesis Testing in Linear Models, Springer, New York, 1988.
2. E. Grafarend, B. Schaffrin, Adjustment Computations in Linear Models (in German), Bibliograph Inst., Mannheim, 1993.
3. H. Toutenburg, Minimax-linear and MSE-linear estimators in generalized regression, Biometr. J. 18 (1976) 91-100.
4. H. Drygas, Minimax prediction in linear models; in: W. Klonecki, T. Calinski (Eds.), Linear Statistical Inference, Springer, New York, 1982, pp. 48-60.
5. H. Drygas, Reparameterization methods in linear minimax estimation, Statist. Sci. and Data Anal. 14 (1993) 87-95.
6. B. Schaffrin, A generalized Lagrange function approach to include fiducial constraints, Zeitschrift für Vermessungswesen 120 (1995) 325-333.
7. C.R. Rao, H. Toutenburg, Linear Models. Least Squares and Alternatives, Springer, New York, 1995.