Doing least squares: perspectives from Gauss and Yule
International Statistical Review, 66, (1), . (doi:10.1111/j.1751-5823.1998.tb00406.x).
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Gauss introduced a procedure for calculating least squares estimates and their precisions. Yule introduced a new system of notation adapted to correlation analysis. This paper describes these formalisms and compares them with the matrix and vector space formalisms used in modern regression analysis.
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