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Summary description of the methods used in the probabilistic risk assessments for NUREG-1150
13 references·16 citing·35 second hop
Summary description of the methods used in the probabilistic risk assessments for NUREG-1150 (1992)Summary description of the methods used i…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…Calculation of reactor accident safety goals (1993)Calculation of reactor accide…Assessment of probability distributions for continuous random variables: A comparison of the bisection and fixed value methods (1992)Assessment of probability dis…The Repeatability of Uncertainty and Sensitivity Analyses for Complex Probabilistic Risk Assessments (1991)The Repeatability of Uncertai…A Robust Measure of Uncertainty Importance for Use in Fault Tree System Analysis (1990)A Robust Measure of Uncertain…Expert Opinion in Risk Analysis: The NUREG-1150 Methodology (1989)Expert Opinion in Risk Analys…A Matrix‐Based Approach to Uncertainty and Sensitivity Analysis for Fault Trees1 (1987)A Matrix‐Based Approach to Un…Uncertainties in Nuclear Probabilistic Risk Analyses (1984)Uncertainties in Nuclear Prob…Fortran 77 program and user's guide for the generation of Latin hypercube and random samples for use with computer models (1984)Fortran 77 program and user's…A distribution-free approach to inducing rank correlation among input variables (1982)A distribution-free approach …On The Quantitative Definition of Risk (1981)On The Quantitative Definitio…Risk Assessment Review Group Report to the U. S. Nuclear Regulatory Commission (1979)Risk Assessment Review Group …A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)A Comparison of Three Methods…A Monte Carlo framework for probabilistic analysis and variance decomposition with distribution parameter uncertainty (2020)A Monte Carlo framework for p…L atin Hypercube Sampling (2014)L atin Hypercube SamplingUse of replicated Latin hypercube sampling to estimate sampling variance in uncertainty and sensitivity analysis results for the geologic disposal of radioactive waste (2011)Use of replicated Latin hyper…Quantification of margins and uncertainties: Example analyses from reactor safety and radioactive waste disposal involving the separation of aleatory and epistemic uncertainty (2011)Quantification of margins and…Quantification of margins and uncertainties: Conceptual and computational basis (2011)Quantification of margins and…Uncertainty and Sensitivity Analysis for Models of Complex Systems (2008)Uncertainty and Sensitivity A…Epistemic Uncertainty in the Ranking and Categorization of Probabilistic Safety Assessment Model Elements: Issues and Findings (2008)Epistemic Uncertainty in the …Predictive Capability Maturity Model for computational modeling and simulation. 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this work references cited by second hop

References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1979A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,766 cited
  • 1981On The Quantitative Definition of Risk3,099 cited
  • 1982A distribution-free approach to inducing rank correlation among input variables1,625 cited
  • 1984Fortran 77 program and user's guide for the generation of Latin hypercube and random samples for use with computer models354 cited
  • 1990A Robust Measure of Uncertainty Importance for Use in Fault Tree System Analysis264 cited
  • 1989Expert Opinion in Risk Analysis: The NUREG-1150 Methodology154 cited
  • 1979Risk Assessment Review Group Report to the U. S. Nuclear Regulatory Commission115 cited
  • 1984Uncertainties in Nuclear Probabilistic Risk Analyses112 cited
  • 1991The Repeatability of Uncertainty and Sensitivity Analyses for Complex Probabilistic Risk Assessments100 cited
  • 1987A Matrix‐Based Approach to Uncertainty and Sensitivity Analysis for Fault Trees197 cited
  • 1993Calculation of reactor accident safety goals94 cited
  • 1992Assessment of probability distributions for continuous random variables: A comparison of the bisection and fixed value methods42 cited

Cited by

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1997
Sensitivity analysis and related analyses: A review of some statistical techniques
168 cited
  • 2007Predictive Capability Maturity Model for computational modeling and simulation.127 cited
  • 2011Quantification of margins and uncertainties: Conceptual and computational basis87 cited
  • 2014L atin Hypercube Sampling71 cited
  • 200404/03087 An exploration of alternative approaches to the representation of uncertainty in model predictions67 cited
  • 2008Uncertainty and Sensitivity Analysis for Models of Complex Systems57 cited
  • 2006Monte-Carlo-Type Techniques for Processing Interval Uncertainty, and Their Potential Engineering Applications57 cited
  • 2003Short-term robustness of production management systems: A case study56 cited
  • 2006Ideas underlying quantification of margins and uncertainties(QMU): a white paper.52 cited
  • 2020A Monte Carlo framework for probabilistic analysis and variance decomposition with distribution parameter uncertainty45 cited
  • 2006Survey of sampling-based methods for uncertainty and sensitivity analysis.44 cited
  • 2011Quantification of margins and uncertainties: Example analyses from reactor safety and radioactive waste disposal involving the separation of aleatory and epistemic uncertainty42 cited
  • 1992The NUREG-1150 probabilistic risk assessment for the Surry Nuclear Power Station41 cited
  • 2011Use of replicated Latin hypercube sampling to estimate sampling variance in uncertainty and sensitivity analysis results for the geologic disposal of radioactive waste35 cited
  • 2008Epistemic Uncertainty in the Ranking and Categorization of Probabilistic Safety Assessment Model Elements: Issues and Findings31 cited
  • 2005Accounting for Both Random Errors and Systematic Errors in Uncertainty Propagation Analysis of Computer Models Involving Experimental Measurements with Monte Carlo Methods29 cited