Probabilistic Risk Analysis and Bayesian Decision Theory is popular PDF and ePub book, written by Marcel van Oijen in 2022-11-23, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Probabilistic Risk Analysis and Bayesian Decision Theory can be Read Online from any device for your convenience.
Probabilistic Risk Analysis and Bayesian Decision Theory Book PDF Summary
The book shows how risk, defined as the statistical expectation of loss, can be formally decomposed as the product of two terms: hazard probability and system vulnerability. This requires a specific definition of vulnerability that replaces the many fuzzy definitions abounding in the literature. The approach is expanded to more complex risk analysis with three components rather than two, and with various definitions of hazard. Equations are derived to quantify the uncertainty of each risk component and show how the approach relates to Bayesian decision theory. Intended for statisticians, environmental scientists and risk analysts interested in the theory and application of risk analysis, this book provides precise definitions, new theory, and many examples with full computer code. The approach is based on straightforward use of probability theory which brings rigour and clarity. Only a moderate knowledge and understanding of probability theory is expected from the reader.
Detail Book of Probabilistic Risk Analysis and Bayesian Decision Theory PDF
- Author : Marcel van Oijen
- Release : 23 November 2022
- Publisher : Springer Nature
- ISBN : 9783031163333
- Genre : Mathematics
- Total Page : 118 pages
- Language : English
- PDF File Size : 14,6 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Probabilistic Risk Analysis and Bayesian Decision Theory by Marcel van Oijen, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.