An elementary development of the equation characterizing best linear unbiased estimators
Author:
Publisher
Elsevier BV
Subject
Discrete Mathematics and Combinatorics,Geometry and Topology,Numerical Analysis,Algebra and Number Theory
Reference5 articles.
1. A study of the influence of the “natural restrictions” on estimation problems in the singular Gauss–Markov model;Baksalary;J. Statist. Plann. Inference,1992
2. The Coordinate-Free Approach to Gauss–Markov Estimation;Drygas,1970
3. Two matrix-based proofs that the linear estimator Gy is the best linear unbiased estimator;Puntanen;J. Statist. Plann. Inference,2000
4. Representations of best linear estimators in the Gauss–Markoff model with a singular dispersion matrix;Rao;J. Multivariate Anal.,1973
5. Generalized Inverse of Matrices and its Applications;Rao,1971
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