Multifactorial descriptive modelling on irregular data designs

DOI10.1016/0895-7177(95)00095-JzbMath0837.92001OpenAlexW2082775544MaRDI QIDQ1900277

Gerd H. Klein

Publication date: 13 May 1996

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0895-7177(95)00095-j

zbMATH Keywords

scattered datadata smoothingresponse surfacesbiosphere researchdescriptive modelling of multifactorial systems responsesirregular designsmultivariate data designsnontensor-product functionsoptimization of smoothnesspseudo-cubic splines

Mathematics Subject Classification ID

Uses Software

• GCVPACK

Cites Work

• Surface fitting with scattered noisy data on Euclidean D-space and on the sphere
• Fitting simple non-tensor-product splines to scattered noisy data on Euclidean d-space
• A fast ``Monte-Carlo cross-validation procedure for large least squares problems with noisy data
• Multivariate interpolation at arbitrary points made simple
• On spline functions and statistical regularization of ill-posed problems
• Rate of Convergence of Shepard's Global Interpolation Formula
• Scattered Data Interpolation: Tests of Some Method
• Analysis of Discrete Ill-Posed Problems by Means of the L-Curve
• Shepard's Method of "Metric Interpolation" to Bivariate and Multivariate Interpolation
• Gcvpack – routines for generalized cross validation
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