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• W1506636611 abstract "Computer experiments have become ubiquitous in science and engineering. Commonly, runs of these simulations demand considerable time and computing, making experimental design extremely important in gaining high quality information with limited time and resources. Principles of experimental design are proposed and justified which ensure high nominal, numeric, and parameter estimation accuracy for Gaussian process emulation of deterministic simulations. The space-filling properties small fill distance and separation distance are only weakly conflicting and ensure well-controlled nominal, numeric, and parameter estimation error, while non-stationarity requires a greater density of experimental inputs in regions of the input space with more quickly decaying correlation. This work will provide scientists and engineers with robust and practically useful overarching principles for selecting combinations of simulation inputs with high information content." @default.
• W1506636611 created "2016-06-24" @default.
• W1506636611 creator A5043874351 @default.
• W1506636611 creator A5050519796 @default.
• W1506636611 date "2014-11-25" @default.
• W1506636611 modified "2023-09-27" @default.
• W1506636611 title "Principles of Experimental Design for Gaussian Process Emulators of Deterministic Computer Experiments" @default.
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• W1506636611 hasPublicationYear "2014" @default.
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