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.
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