A bound for the Euclidean norm of the difference between the best linear unbiased estimator and a linear unbiased estimator

Journal of Geodesy

Volumn 76, Issue 6, 2002, Pages 317-322

  Makinen J ^a  

^a FINNISH GEODETIC INSTITUTE   (Finland)

Author keywords

Best linear unbiased estimate; Gauss Markov estimate; Least squares estimate; Linear model; Precise levelling; Spectral norm; Vertical motion

Indexed keywords

GEODESY; LEAST SQUARES METHOD; LEVELING; NUMERICAL METHOD;

EID: 0036345484     PISSN: 09497714     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00190-002-0262-9     Document Type: Article

References (12)

1. The Gauss-Markov theorem for regression models with possibly singular covariances
2. A bound for the Euclidean norm of the difference between the least squares and the best linear unbiased estimators
3. A new bound for the Euclidean norm of the difference between the least squares and the best linear unbiased estimators
4. Bounds for the difference between a linear unbiased estimate and the best linear unbiased estimate
5. Determination of postglacial rebound from the three precise levellings in Finland
6. Unified theory of linear estimation
7. Unified theory of least squares
8. Generating classes of equivalent linear models by nuisance parameter elimination. Applications to GPS observations
9. New, improved version of generic mapping tools released