| 书目名称 | Probabilistic Risk Analysis and Bayesian Decision Theory |
| 编辑 | Marcel van Oijen,Mark Brewer |
| 视频video | |
| 概述 | Introduces a new theory of probabilistic risk analysis that is rigorous and versatile.Explains how risk analysis is related to Bayesian decision theory.Provides many examples, all with R-code |
| 丛书名称 | SpringerBriefs in Statistics |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2022 |
| 关键词 | Bayesian Methods; Decision Theory; Hazards; Probability Theory; Risk Analysis; System Vulnerability; Uncer |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-16333-3 |
| isbn_softcover | 978-3-031-16332-6 |
| isbn_ebook | 978-3-031-16333-3Series ISSN 2191-544X Series E-ISSN 2191-5458 |
| issn_series | 2191-544X |
| copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2022 |
发表于 2025-3-21 18:31:07
