Book Description

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