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- W2034150692 abstract "For the usual full rank univariate least squares regression model y = XB + e, E(e) = 0, E(ee) = A, the equality of the estimates occurs when B-B* = (XA−1X)−1XA-1y-(XX)−1Xy = 0. A necessary and sufficient condition for this equality is that A has some N - k + 1 roots equal where N is the rank of A and k is the rank of X." @default.
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- W2034150692 modified "2023-09-24" @default.
- W2034150692 title "On the difference between gauss-markov and least squares estimates" @default.
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- W2034150692 doi "https://doi.org/10.1002/bimj.4710220402" @default.
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