1. Uncertainty and decision-making -- 2. The concept of probability -- 3. Distributions and expectation -- 4. The concept of utility -- 5. Games and optimization -- 6. Entropy -- 7. Mathematical aspects -- 8. Exchangeability and inference -- 9. Extremes -- 10. Risk, safety and reliability -- 11. D
Decisions under uncertainty : probabilistic analysis for engineering decisions
β Scribed by Ian J Jordaan
- Publisher
- Cambridge University Press
- Year
- 2005
- Tongue
- English
- Leaves
- 688
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Frontmatter......Page 1
Contents......Page 7
List of illustrations......Page 12
Preface......Page 13
Acknowledgements......Page 16
1 - Uncertainty and decision-making......Page 17
2 - The concept of probability......Page 36
3 - Probability distributions, expectation and prevision......Page 106
4 - The concept of utility......Page 178
5 - Games and optimization......Page 236
6 - Entropy......Page 288
7 - Characteristic functions, transformed and limiting distributions......Page 333
8 - Exchangeability and inference......Page 394
9 - Extremes......Page 468
10 - Risk, safety and reliability......Page 530
11 - Data and simulation......Page 577
12 - Conclusion......Page 634
Appendix 1 - Common probability distributions......Page 636
Appendix 2 - Mathematical aspects......Page 653
Appendix 3 - Answers and comments on exercises......Page 659
References......Page 666
Index......Page 673
π SIMILAR VOLUMES
To better understand the core concepts of probability and to see how they affect real-world decisions about design and system performance, engineers and scientists might want to ask themselves the following questions: What exactly is meant by probability? What is the precise definition of the 100-
don't take the amazon reviews seriously; it is a masterpiece!
In every decision context there are things we know and things we do not know. Risk analysis uses science and the best available evidence to assess what we knowβand it is intentional in the way it addresses the importance of the things we donβt know. Primer on Risk Analysis: Decision Making Under Unc
<P>In every decision context there are things we know and things we do not know. Risk analysis uses science and the best available evidence to assess what we knowβand it is intentional in the way it addresses the importance of the things we donβt know. <STRONG>Principles of Risk Analysis: Decision M
<P>In every decision context there are things we know and things we do not know. Risk analysis uses science and the best available evidence to assess what we knowβand it is intentional in the way it addresses the importance of the things we donβt know. <STRONG>Primer on Risk Analysis: Decision Makin