Neuware - Covering the prediction of outcomes for engineering decisions through regression analysis, this reference presents statistical reasoning and interpretational techniques to aid in the decision making process when faced with engineering problems.

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Bibliographic Details

Title: What Every Engineer Should Know About Decision Making Under Uncertainty
Publisher: Taylor & Francis Inc Jul 2002
Publication Date: 2002
Language: English
ISBN 10: 0824708083
ISBN 13: 9780824708085
Binding: Buch
Condition: Neu
Dimensions: 267 millimeters width by 231 millimeters height by 22 millimeters depth
Weight: 589 grams

About this title

Synopsis

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.

About the Author

Wang, John X.

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