Quantitative risk assessment: the scientific platform
Quantitative risk assessments cannot eliminate risk, nor can they resolve trade-offs. They can, however, guide principled risk management and reduction - if the quality of assessment is high and decision makers understand how to use it. This book builds a unifying scientific framework for discussing...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2011
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | Quantitative risk assessments cannot eliminate risk, nor can they resolve trade-offs. They can, however, guide principled risk management and reduction - if the quality of assessment is high and decision makers understand how to use it. This book builds a unifying scientific framework for discussing and evaluating the quality of risk assessments and whether they are fit for purpose. Uncertainty is a central topic. In practice, uncertainties about inputs are rarely reflected in assessments, with the result that many safety measures are considered unjustified. Other topics include the meaning of a probability, the use of probability models, the use of Bayesian ideas and techniques, and the use of risk assessment in a practical decision-making context. Written for professionals, as well as graduate students and researchers, the book assumes basic probability, statistics and risk assessment methods. Examples make concepts concrete, and three extended case studies show the scientific framework in action |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xi, 211 pages) |
| ISBN: | 9780511974120 |
| DOI: | 10.1017/CBO9780511974120 |
Internformat
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| 520 | |a Quantitative risk assessments cannot eliminate risk, nor can they resolve trade-offs. They can, however, guide principled risk management and reduction - if the quality of assessment is high and decision makers understand how to use it. This book builds a unifying scientific framework for discussing and evaluating the quality of risk assessments and whether they are fit for purpose. Uncertainty is a central topic. In practice, uncertainties about inputs are rarely reflected in assessments, with the result that many safety measures are considered unjustified. Other topics include the meaning of a probability, the use of probability models, the use of Bayesian ideas and techniques, and the use of risk assessment in a practical decision-making context. Written for professionals, as well as graduate students and researchers, the book assumes basic probability, statistics and risk assessment methods. Examples make concepts concrete, and three extended case studies show the scientific framework in action | ||
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Datensatz im Suchindex
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| author | Aven, Terje |
| author_facet | Aven, Terje |
| author_role | aut |
| author_sort | Aven, Terje |
| author_variant | t a ta |
| building | Verbundindex |
| bvnumber | BV043944134 |
| classification_rvk | SK 980 |
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| contents | Machine generated contents note: Preface; 1. Introduction to risk management and risk assessments. Challenges; 2. Concepts and perspectives on risk; 3. Science and scientific requirements; 4. Introduction to case studies; 5. Risk assessment when the objective is accurate risk estimation; 6. Risk assessment when the objective is uncertainty descriptions; 7. Risk management and communication issues; 8. Towards a holistic approach to risk assessments; 9. Conclusions; Appendix A. Introduction to probability theory and statistical analysis; Appendix B. Terminology; References; Index |
| ctrlnum | (ZDB-20-CBO)CR9780511974120 (OCoLC)839013809 (DE-599)BVBBV043944134 |
| dewey-full | 519.2/87 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2/87 |
| dewey-search | 519.2/87 |
| dewey-sort | 3519.2 287 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1017/CBO9780511974120 |
| format | Electronic eBook |
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| spelling | Aven, Terje Verfasser aut Quantitative risk assessment the scientific platform Terje Aven Cambridge Cambridge University Press 2011 1 online resource (xi, 211 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Machine generated contents note: Preface; 1. Introduction to risk management and risk assessments. Challenges; 2. Concepts and perspectives on risk; 3. Science and scientific requirements; 4. Introduction to case studies; 5. Risk assessment when the objective is accurate risk estimation; 6. Risk assessment when the objective is uncertainty descriptions; 7. Risk management and communication issues; 8. Towards a holistic approach to risk assessments; 9. Conclusions; Appendix A. Introduction to probability theory and statistical analysis; Appendix B. Terminology; References; Index Quantitative risk assessments cannot eliminate risk, nor can they resolve trade-offs. They can, however, guide principled risk management and reduction - if the quality of assessment is high and decision makers understand how to use it. This book builds a unifying scientific framework for discussing and evaluating the quality of risk assessments and whether they are fit for purpose. Uncertainty is a central topic. In practice, uncertainties about inputs are rarely reflected in assessments, with the result that many safety measures are considered unjustified. Other topics include the meaning of a probability, the use of probability models, the use of Bayesian ideas and techniques, and the use of risk assessment in a practical decision-making context. Written for professionals, as well as graduate students and researchers, the book assumes basic probability, statistics and risk assessment methods. Examples make concepts concrete, and three extended case studies show the scientific framework in action Probabilities Risk assessment / Statistical methods Decision making / Statistical methods Risikoanalyse (DE-588)4137042-9 gnd rswk-swf Risikomanagement (DE-588)4121590-4 gnd rswk-swf 1\p (DE-588)4522595-3 Fallstudiensammlung gnd-content Risikoanalyse (DE-588)4137042-9 s Risikomanagement (DE-588)4121590-4 s 2\p DE-604 Erscheint auch als Druckausgabe 978-0-521-76057-7 https://doi.org/10.1017/CBO9780511974120 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Aven, Terje Quantitative risk assessment the scientific platform Machine generated contents note: Preface; 1. Introduction to risk management and risk assessments. Challenges; 2. Concepts and perspectives on risk; 3. Science and scientific requirements; 4. Introduction to case studies; 5. Risk assessment when the objective is accurate risk estimation; 6. Risk assessment when the objective is uncertainty descriptions; 7. Risk management and communication issues; 8. Towards a holistic approach to risk assessments; 9. Conclusions; Appendix A. Introduction to probability theory and statistical analysis; Appendix B. Terminology; References; Index Probabilities Risk assessment / Statistical methods Decision making / Statistical methods Risikoanalyse (DE-588)4137042-9 gnd Risikomanagement (DE-588)4121590-4 gnd |
| subject_GND | (DE-588)4137042-9 (DE-588)4121590-4 (DE-588)4522595-3 |
| title | Quantitative risk assessment the scientific platform |
| title_auth | Quantitative risk assessment the scientific platform |
| title_exact_search | Quantitative risk assessment the scientific platform |
| title_full | Quantitative risk assessment the scientific platform Terje Aven |
| title_fullStr | Quantitative risk assessment the scientific platform Terje Aven |
| title_full_unstemmed | Quantitative risk assessment the scientific platform Terje Aven |
| title_short | Quantitative risk assessment |
| title_sort | quantitative risk assessment the scientific platform |
| title_sub | the scientific platform |
| topic | Probabilities Risk assessment / Statistical methods Decision making / Statistical methods Risikoanalyse (DE-588)4137042-9 gnd Risikomanagement (DE-588)4121590-4 gnd |
| topic_facet | Probabilities Risk assessment / Statistical methods Decision making / Statistical methods Risikoanalyse Risikomanagement Fallstudiensammlung |
| url | https://doi.org/10.1017/CBO9780511974120 |
| work_keys_str_mv | AT aventerje quantitativeriskassessmentthescientificplatform |