1995 | OriginalPaper | Buchkapitel
Nonparametric Regression, Kriging and Process Optimization
verfasst von : M. O’Connell, P. Haaland, S. Hardy, D. Nychka
Erschienen in: Statistical Modelling
Verlag: Springer New York
Enthalten in: Professional Book Archive
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Thin plate splines and kriging models are proposed as methods for approximating unknown response functions in the context of process optimization. Connections between the methods are discussed and implementation of the models using S-PLUS is described. Results are presented from a simulation study comparing the methods and further necessary work is identified.