What Every Engineer Should Know About Decision Making Under Uncertainty 1st Edition by John Wang – Ebook PDF Instant Download/Delivery: 9780824708085, 0824708083
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Product details:
ISBN 10: 0824708083
ISBN 13: 9780824708085
Author: John X. Wang
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.
Table of contents:
Chapter 1 Engineering: Making hard decisions under uncertainty
Chapter 2 Engineering judgment for discrete uncertain variables
Chapter 3 Decision analysis involving continuous uncertain variables
Chapter 4 Correlation of random variables and estimating confidence
Chapter 5 Performing engineering predictions
Chapter 6 Engineering decision variables analysis and optimization
Chapter 7 Project scheduling and budgeting under uncertainty
Chapter 8 Process control decisions based on charts and indexes
Chapter 9 Engineering decision making: a new paradigm
Appendix A Engineering Decision-Making Software Evaluation Checklist
Appendix B Four Primary Continuous Distributions
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Tags: John Wang, Engineer, Decision, Uncertainty