Literature DB >> 2255906

The concept of probability in safety assessments of technological systems.

G Apostolakis1.   

Abstract

Safety assessments of technological systems, such as nuclear power plants, chemical process facilities, and hazardous waste repositories, require the investigation of the occurrence and consequences of rare events. The subjectivistic (Bayesian) theory of probability is the appropriate framework within which expert opinions, which are essential to the quantification process, can be combined with experimental results and statistical observations to produce quantitative measures of the risks from these systems. A distinction is made between uncertainties in physical models and state-of-knowledge uncertainties about the parameters and assumptions of these models. The proper role of past and future relative frequencies and several issues associated with elicitation and use of expert opinions are discussed.

Mesh:

Year:  1990        PMID: 2255906     DOI: 10.1126/science.2255906

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  9 in total

1.  Varieties of uncertainty in health care: a conceptual taxonomy.

Authors:  Paul K J Han; William M P Klein; Neeraj K Arora
Journal:  Med Decis Making       Date:  2011 Nov-Dec       Impact factor: 2.583

2.  Tipping elements in the Earth's climate system.

Authors:  Timothy M Lenton; Hermann Held; Elmar Kriegler; Jim W Hall; Wolfgang Lucht; Stefan Rahmstorf; Hans Joachim Schellnhuber
Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-07       Impact factor: 11.205

Review 3.  A methodology for performing global uncertainty and sensitivity analysis in systems biology.

Authors:  Simeone Marino; Ian B Hogue; Christian J Ray; Denise E Kirschner
Journal:  J Theor Biol       Date:  2008-04-20       Impact factor: 2.691

4.  Bayesian Model Averaging for Ensemble-Based Estimates of Solvation-Free Energies.

Authors:  Luke J Gosink; Christopher C Overall; Sarah M Reehl; Paul D Whitney; David L Mobley; Nathan A Baker
Journal:  J Phys Chem B       Date:  2017-01-04       Impact factor: 2.991

5.  Bayesian model aggregation for ensemble-based estimates of protein pKa values.

Authors:  Luke J Gosink; Emilie A Hogan; Trenton C Pulsipher; Nathan A Baker
Journal:  Proteins       Date:  2013-10-17

6.  Out-of-sample validation for structured expert judgment of Asian carp establishment in Lake Erie.

Authors:  Roger M Cooke; Marion E Wittmann; David M Lodge; John D Rothlisberger; Edward S Rutherford; Hongyan Zhang; Doran M Mason
Journal:  Integr Environ Assess Manag       Date:  2014-10       Impact factor: 2.992

Review 7.  Probabilistic risk assessment - the keystone for the future of toxicology.

Authors:  Alexandra Maertens; Emily Golden; Thomas H Luechtefeld; Sebastian Hoffmann; Katya Tsaioun; Thomas Hartung
Journal:  ALTEX       Date:  2022       Impact factor: 6.250

8.  An Interactive Model among Potential Human Risk Factors: 331 Cases of Coal Mine Roof Accidents in China.

Authors:  Ruipeng Tong; Cunli Zhai; Qingli Jia; Chunlin Wu; Yan Liu; Surui Xue
Journal:  Int J Environ Res Public Health       Date:  2018-06-01       Impact factor: 3.390

9.  Global Sensitivity Analysis with Mixtures: A Generalized Functional ANOVA Approach.

Authors:  Emanuele Borgonovo; Genyuan Li; John Barr; Elmar Plischke; Herschel Rabitz
Journal:  Risk Anal       Date:  2021-06-19       Impact factor: 4.302

  9 in total

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