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What Every Engineer Should Know About Decision Making Under Uncertainty PDF

311 Pages·2002·13.004 MB·English
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by John X. Wang| 2002| 311 pages| 13.004| English

About What Every Engineer Should Know About Decision Making Under Uncertainty

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.

Detailed Information

Author:John X. Wang
Publication Year:2002
ISBN:9780824708085
Pages:311
Language:English
File Size:13.004
Format:PDF
Price:FREE
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