An Intuitive Geometric Approach to the Gauss Markov Theorem

Citation
Leandro Da Silva Pereira, et al., An Intuitive Geometric Approach to the Gauss Markov Theorem, American statistician , 71(1), 2017, pp. 67-70
Journal title
ISSN journal
00031305
Volume
71
Issue
1
Year of publication
2017
Pages
67 - 70
Database
ACNP
SICI code
Abstract
Algebraic proofs of Gauss.Markov theorem are very disappointing from an intuitive point of view. An alternative is to use geometry that emphasizes the essential statistical ideas behind the result. This article presents a truly geometrical intuitive approach to the theorem, based only in simple geometrical concepts, like linear subspaces and orthogonal projections.