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- W2094820641 abstract "Consider multivariate linear calibration of a single standard. We show that a selection of the q′ most informative of the q responses gives a finite mean squared error for the generalised least squares prediction of an unknown standard provided 1 ⩽ q′ ⩽ q and q ⩾ 3. Furthermore, the prediction mean is finite provided 1 ⩽ q′ ⩽ q and q ⩾ 2 and in general the rth absolute moment exists for 1 ⩽ q′ ⩽ q ⩾ r + 1. These results extend those of Lieftinck-Koeijers (1988) to the selection of responses and also sharpen her results when selection is not present, since she showed only that the mean is finite for q ⩾ 3 and the mean squared error finite for q ⩾ 5." @default.
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- W2094820641 date "1991-08-01" @default.
- W2094820641 modified "2023-09-28" @default.
- W2094820641 title "Mean squared error and selection in multivariate calibration" @default.
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- W2094820641 doi "https://doi.org/10.1016/0167-7152(91)90061-u" @default.
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