What Every Engineer Should Know About Decision Making Under ...

John X. Wang

• 02 december 2019
• 9780367447007

Samenvatting:

This book introduces general techniques for thinking systematically and quantitatively about uncertainty in engineering decision problems. It shows how conditional expectations and conditional cumulative distributions can be estimated in a simulation model.

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.