Simon P. Edwards
Published: 2000
Total Pages: 216
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In 11 specially commissioned articles, engineers and statisticians explain how they collaborate to use statistical techniques to expand the tool kit for designing engines, demonstrating especially how statistically designed experiments can make a major contribution to meeting existing and future demands in engine development. They discuss modeling techniques, response surface methods, multi-stage models, neural networks, Bayesian methods, optimization, emulating computer models, genetic algorithms, on-line optimization, and robust engineering design. Distributed in the US by ASME. Annotation copyrighted by Book News, Inc., Portland, OR