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Design and Modeling for Computer Experiments |
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Kai-Tai Fang Hong Kong Baptist University, Kowloon
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Pennsylvania State University, University Park, PA
Agus Sudjianto Bank of America, Charlotte, NC
Series: Chapman & Hall/CRC Computer Science & Data Analysis
Volume: 6 | | | - Blends a modern, sound statistical approach with extensive practical engineering applications
- Presents numerous examples that clarify the methods and their implementation
- Presents the most useful design and modeling methods, including some original contributions from the authors
- Covers uniform design, measures of uniformity, and their algebraic approaches
- Discusses special techniques for model interpretation such as ANOVA and the Fourier Amplitude Sensitivity Test
|  | Computer simulations based on mathematical models have become ubiquitous across the engineering disciplines and throughout the physical sciences. Successful use of a simulation model, however, requires careful interrogation of the model through systematic computer experiments. While specific theoretical/mathematical examinations of computer experiment design are available, those interested in applying proposed methodologies need a practical presentation and straightforward guidance on analyzing and interpreting experiment results.
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