Defense Technical Information Center (DTIC) · 1982 · 25 citations · 13 references
ComputingComputational EngineeringMethod ValidationStatistical LearningStatistical ModelingCurve FittingCurve ModelingShape FunctionsSpline CurvesCross-validationProbability PlotsSmoothingSmoothing Parameter SelectionSmoothing SplinesSmoothing TechniquesSpline ModelingThin Plate Spline
Laplacian Smoothing Splines (LSS) are presented as generalizations of graduation, cubic and thin plate splines. The method of generalized cross validation (GCV) to choose the smoothing parameter is described. GCV is used in the algorithm for the computation of LSS'S. An outline of a computer program which implements this algorithm is presented along with a description of the use of the program. Examples in one, two and three dimensions demonstrate how to obtain estimates of function values with confidence intervals and estimates of first and second derivatives. Probability plots are used as a diagnostic tool to check for model inadequacy. (Author)
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Smoothing noisy data with spline functions
Peter G. Craven, Grace Wahba · Numerische Mathematik · 1978 · 3.4K citations
C. Reinsch · Numerische Mathematik · 1967 · 2.2K citations
Splines and Variational Methods.
L. B. W., P. M. Prenter · Mathematics of Computation · 1991 · 1.1K citations