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- W2023749340 abstract "Based on the spline software of Lyche et al., a subroutine package is presented in which the amount of smoothing on a set of n noisy datapoints is determined from the data by means of the Generalized Cross-Validation (GCV) or predicted Mean-Squared Error (MSE) criteria of Wahba and her collaborators. Following an idea of Hutchinson and de Hoog, an efficient O (m2n) algorithm is used for calculating the criterion functions, where 2m is the order of the spline function. In this fashion, earlier O (n3) approaches based on the singular value decomposition can be avoided." @default.
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- W2023749340 date "1986-04-01" @default.
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- W2023749340 title "A Fortran package for generalized, cross-validatory spline smoothing and differentiation" @default.
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- W2023749340 doi "https://doi.org/10.1016/0141-1195(86)90098-7" @default.
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