Buch, Englisch, 690 Seiten, Format (B × H): 170 mm x 244 mm, Gewicht: 1170 g
Probabilistic Analysis for Engineering Decisions
Buch, Englisch, 690 Seiten, Format (B × H): 170 mm x 244 mm, Gewicht: 1170 g
ISBN: 978-0-521-36997-8
Verlag: Cambridge University Press
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-year load and how is it calculated? What is an 'extremal' probability distribution? What is the Bayesian approach? How is utility defined? How do games fit into probability theory? What is entropy? How do I apply these ideas in risk analysis? Starting from the most basic assumptions, this 2005 book develops a coherent theory of probability and broadens it into applications in decision theory, design, and risk analysis. This book is written for engineers and scientists interested in probability and risk. It can be used by undergraduates, graduate students, or practicing engineers.
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Technische Wissenschaften Technik Allgemein Mathematik für Ingenieure
- Mathematik | Informatik Mathematik Operations Research
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Risikobewertung, Risikotheorie
Weitere Infos & Material
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. Data and simulation; 12. Conclusion; Appendix.
