A Dual Metamodeling Perspective for Design and Analysis of Stochastic Simulation Experiments
Fueled by a growing number of applications in science and engineering, the development of stochastic simulation metamodeling methodologies has gained momentum in recent years. A majority of the existing methods, such as stochastic kriging (SK), only focus on efficiently metamodeling the mean respo...
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| Format: | Others |
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Virginia Tech
2019
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| Online Access: | http://hdl.handle.net/10919/91482 |