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• W2104005803 abstract "The use of simulation as a modeling and analysis tool is wide spread. Simulation is an enabling tool for experimenting virtually on a validated computer environment. Often the underlying function for the results of a computer simulation experiment has too much curvature to be adequately modeled by a low order polynomial. In such cases finding an appropriate experimental design is not easy. This research uses prediction variance over the volume of the design region to evaluate computer simulation experiments assuming the modeler is interested in fitting a second order polynomial or a Gaussian process model to the response data. Both space-filling and optimal designs are considered." @default.
• W2104005803 created "2016-06-24" @default.
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• W2104005803 date "2008-12-07" @default.
• W2104005803 modified "2023-10-15" @default.
• W2104005803 title "Comparing designs for computer simulation experiments" @default.
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• W2104005803 doi "https://doi.org/10.5555/1516744.1516834" @default.
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