Fitting simple non-tensor-product splines to scattered noisy data on Euclidean d-space

DOI10.1016/0377-0427(87)90007-0zbMath0627.65011OpenAlexW2029499265MaRDI QIDQ1092594

Gerd H. Klein

Publication date: 1987

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0377-0427(87)90007-0

zbMATH Keywords

modellingsimulationecosystemsstatistical estimationdata smoothingnon-tensor-product spline

Mathematics Subject Classification ID

Numerical computation using splines (65D07) Numerical smoothing, curve fitting (65D10) Probabilistic models, generic numerical methods in probability and statistics (65C20) Spline approximation (41A15)

Related Items (1)

Multifactorial descriptive modelling on irregular data designs

Cites Work

• Surface fitting with scattered noisy data on Euclidean D-space and on the sphere
• Multivariate interpolation at arbitrary points made simple
• On spline functions and statistical regularization of ill-posed problems
• Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
• Equivalent Norms for Sobolev Spaces
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