From Equivalent Linear Equations to Gauss-Markov Theorem

<p/> <p>Gauss-Markov theorem reduces linear unbiased estimation to the Least Squares Solution of inconsistent linear equations while the normal equations reduce the second one to the usual solution of consistent linear equations. It is rather surprising that the second algebraic result i...

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Main Author: St&#281;pniak Czes&#322;aw
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:Journal of Inequalities and Applications
Online Access:http://www.journalofinequalitiesandapplications.com/content/2010/259672
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spelling doaj-2c6fa798a9a9450bb4f832e407e2f8b92020-11-25T00:33:29ZengSpringerOpenJournal of Inequalities and Applications1025-58341029-242X2010-01-0120101259672From Equivalent Linear Equations to Gauss-Markov TheoremSt&#281;pniak Czes&#322;aw<p/> <p>Gauss-Markov theorem reduces linear unbiased estimation to the Least Squares Solution of inconsistent linear equations while the normal equations reduce the second one to the usual solution of consistent linear equations. It is rather surprising that the second algebraic result is usually derived in a differential way. To avoid this dissonance, we state and use an auxiliary result on equivalence of two systems of linear equations. This places us in a convenient position to attack on the main problems in the Gauss-Markov model in an easy way.</p>http://www.journalofinequalitiesandapplications.com/content/2010/259672
collection DOAJ
language English
format Article
sources DOAJ
author St&#281;pniak Czes&#322;aw
spellingShingle St&#281;pniak Czes&#322;aw
From Equivalent Linear Equations to Gauss-Markov Theorem
Journal of Inequalities and Applications
author_facet St&#281;pniak Czes&#322;aw
author_sort St&#281;pniak Czes&#322;aw
title From Equivalent Linear Equations to Gauss-Markov Theorem
title_short From Equivalent Linear Equations to Gauss-Markov Theorem
title_full From Equivalent Linear Equations to Gauss-Markov Theorem
title_fullStr From Equivalent Linear Equations to Gauss-Markov Theorem
title_full_unstemmed From Equivalent Linear Equations to Gauss-Markov Theorem
title_sort from equivalent linear equations to gauss-markov theorem
publisher SpringerOpen
series Journal of Inequalities and Applications
issn 1025-5834
1029-242X
publishDate 2010-01-01
description <p/> <p>Gauss-Markov theorem reduces linear unbiased estimation to the Least Squares Solution of inconsistent linear equations while the normal equations reduce the second one to the usual solution of consistent linear equations. It is rather surprising that the second algebraic result is usually derived in a differential way. To avoid this dissonance, we state and use an auxiliary result on equivalence of two systems of linear equations. This places us in a convenient position to attack on the main problems in the Gauss-Markov model in an easy way.</p>
url http://www.journalofinequalitiesandapplications.com/content/2010/259672
work_keys_str_mv AT st281pniakczes322aw fromequivalentlinearequationstogaussmarkovtheorem
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