What Every Engineer Should Know About Decision Making Under Uncertainty
Published on 1. July 2002
328 pages
978-1-135-56323-3 (ISBN)
Description
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.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
File size
16,65 MB
ISBN-13
978-1-135-56323-3 (9781135563233)
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Schweitzer Classification
Other editions
Additional editions
Book
12/2019
1st Edition
CRC Press
€95.90
Shipment within 15-20 days
Book
06/2014
Marcel Dekker Inc
€99.52
Shipment within 15-20 days
Book
07/2002
1st Edition
CRC Press
€179.51
Shipment within 15-20 days
Person
John X. Wang
Content
PREFACE, 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, INDEX
