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The Equality of the Ordinary Least Squares Estimator and the Best Linear Unbiased Estimator
American Statistician, 1989Abstract It is well known that the ordinary least squares estimator of Xβ in the general linear model E y = Xβ, cov y = σ2 V, can be the best linear unbiased estimator even if V is not a multiple of the identity matrix. This article presents, in a historical perspective, the development of the several conditions for the ordinary least squares estimator
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