General & Miscellaneous Engineering, Business Aspects of Engineering
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Overview
Covering the prediction of outcomes for engineering decisions through regression analysis, this succinct and practical reference presents statistical reasoning and interpretational techniques to aid in the decision making process when faced with engineering problems. The author emphasizes the use of spreadsheet simulations and decision trees as important tools in the practical application of decision making analyses and models to improve real-world engineering operations. He offers insight into the realities of high-stakes engineering decision making in the investigative and corporate sectors by optimizing engineering decision variables to maximize payoff.
Editorials
From The Critics
Wang is a Certified Reliability Engineer under the American Society for Quality, and has authored many professional papers on fault diagnosis, reliability engineering, and related topics. He introduces general techniques for thinking systematically and quantitatively about uncertainty in engineering decision problems. Coverage include spreadsheet simulation models, sensitivity analysis, probabilistic decision analysis models, value of information, forecasting, and utility analysis including uncertainty. Includes practical case studies from various engineering disciplines, with illustrated methods for different applications. Annotation c. Book News, Inc., Portland, OR (booknews.com)Book Details
Published
July 1, 2002
Publisher
CRC Press
Pages
328
Format
Hardcover
ISBN
9780824708085