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Gauss–Markov theorem: Revision history


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  • curprev 22:2522:25, 15 August 2024 31.111.35.114 talk 28,277 bytes +232 Actually I'm just going to restore the abstract back to how it was on January 15th 2024 before someone added all the anti-OLS stuff. Most of these criticisms belong in a specific section of the article, not in the abstract. undo
  • curprev 22:2122:21, 15 August 2024 31.111.35.114 talk 28,045 bytes −835 This abstract is super weird and seems to be written by someone who hates frequentist regression. I dont understand why. Most statistics textbooks do motivate using Gauss-Markov so some of this is just rwrong. And "assignmed likelhiood" and KL arent "more principled" than least squares, this is nonsense. Also Stein's phenomenon is mostly a curiosity and doesnt have too much effect on practice. And the abstract shouldnt be 90% critical. Ive rewritten for balance undo

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  • curprev 01:4601:46, 6 November 2023 Seanrson talk contribs m 27,321 bytes −5 The hyperlink is for linear regression, but the Gauss-Markov theorem is about the class of linear estimators more generally, as reflected in the other portions of the text. The sense of "linear" here is that of a linear combination. undo Tag: Visual edit

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  • curprev 15:4315:43, 15 February 2023 Rodolfoaoviedoh talk contribs 25,960 bytes −12 Statement: In the paragraph beginning with "A linear estimator of", I deleted a set of parentheses from the formula that follows the phase "Then the mean squared error of the corresponding estimation is". This way, the square applies to the content in the remaining parenthesis. undo

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  • curprev 06:4606:46, 10 December 2020 184.147.84.61 talk 25,656 bytes +34 the original is "the condition of {\displaystyle \operatorname {Var} \left({\tilde {\beta ))\right)-\operatorname {Var} \left({\widehat {\beta ))\right)}" which does not actually state a condition, user added "is a positive semidefinite matrix" to complete the condition. undo

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