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Gauss-Markov Estimation for Multivariate Linear Models: A Coordinate Free Approach

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Publication:5591217
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DOI10.1214/aoms/1177697093zbMath0195.20101OpenAlexW1985972860MaRDI QIDQ5591217

Morris L. Eaton

Publication date: 1970

Published in: The Annals of Mathematical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aoms/1177697093


zbMATH Keywords

statistics



Related Items (11)

A unified approach to coordinate-free multivariate analysis ⋮ A note on the Gauss-Markov theorem ⋮ Quadratic estimators of covariance components in a multivariate mixed linear model ⋮ William H. Kruskal and the development of coordinate-free methods ⋮ On the existence of the Gauss-Markov estimators in linear mixed models ⋮ Sparse PCA: optimal rates and adaptive estimation ⋮ Unbiased invariant minimum norm estimation in generalized growth curve model ⋮ Projectors and linear estimation in general linear models ⋮ Improved nonnegative estimation of multivariate components of variance ⋮ Lineare Modelle und Hochrechnung von Wahlergebnissen ⋮ Minqe(U, I) and Umvique of the Covariance Matrix in the Growth Curve Model







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