What Every Engineer Should Know About Decision Making Under Uncertainty
Published on 1. July 2002
328 pages
978-0-203-91075-7 (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 imp
More details
Language
English
Place of publication
Baton Rouge
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
File size
8,44 MB
ISBN-13
978-0-203-91075-7 (9780203910757)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
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12/2019
1st Edition
CRC Press
€95.90
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Book
06/2014
Marcel Dekker Inc
€99.52
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Book
07/2002
1st Edition
CRC Press
€179.81
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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
