Expert judgments calibration and combination for assessment of river levee failure probability
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DOI: 10.1016/j.ress.2019.03.019
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- Richard P. Larrick & Jack B. Soll, 2006. "Erratum--Intuitions About Combining Opinions: Misappreciation of the Averaging Principle," Management Science, INFORMS, vol. 52(2), pages 309-310, February.
- John Quigley & Abigail Colson & Willy Aspinall & Roger M. Cooke, 2018. "Elicitation in the Classical Model," International Series in Operations Research & Management Science, in: Luis C. Dias & Alec Morton & John Quigley (ed.), Elicitation, chapter 0, pages 15-36, Springer.
- Colson, Abigail R. & Cooke, Roger M., 2017. "Cross validation for the classical model of structured expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 163(C), pages 109-120.
- Roger Cooke & Eric Jager, 1998. "A Probabilistic Model for the Failure Frequency of Underground Gas Pipelines," Risk Analysis, John Wiley & Sons, vol. 18(4), pages 511-527, August.
- Soll, Jack B., 1996. "Determinants of Overconfidence and Miscalibration: The Roles of Random Error and Ecological Structure," Organizational Behavior and Human Decision Processes, Elsevier, vol. 65(2), pages 117-137, February.
- Forys, Monika B. & Kurowicka, Dorota & Peppelman, Bas, 2013. "A probabilistic model for a gas explosion due to leakages in the grey cast iron gas mains," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 270-279.
- Lin, Shi-Woei & Bier, Vicki M., 2008. "A study of expert overconfidence," Reliability Engineering and System Safety, Elsevier, vol. 93(5), pages 711-721.
- Cooke, Roger M. & Goossens, Louis L.H.J., 2008. "TU Delft expert judgment data base," Reliability Engineering and System Safety, Elsevier, vol. 93(5), pages 657-674.
- Kenneth C. Lichtendahl & Yael Grushka-Cockayne & Robert L. Winkler, 2013. "Is It Better to Average Probabilities or Quantiles?," Management Science, INFORMS, vol. 59(7), pages 1594-1611, July.
- Garthwaite, Paul H. & Kadane, Joseph B. & O'Hagan, Anthony, 2005. "Statistical Methods for Eliciting Probability Distributions," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 680-701, June.
- Heiko Apel & Annegret Thieken & Bruno Merz & Günter Blöschl, 2006. "A Probabilistic Modelling System for Assessing Flood Risks," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 38(1), pages 79-100, May.
- Abigail R Colson & Roger M Cooke, 2018. "Expert Elicitation: Using the Classical Model to Validate Experts’ Judgments," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 12(1), pages 113-132.
- Alexina J. Mason & Manuel Gomes & Richard Grieve & James R. Carpenter, 2018. "A Bayesian framework for health economic evaluation in studies with missing data," Health Economics, John Wiley & Sons, Ltd., vol. 27(11), pages 1670-1683, November.
- Richard P. Larrick & Jack B. Soll, 2006. "Intuitions About Combining Opinions: Misappreciation of the Averaging Principle," Management Science, INFORMS, vol. 52(1), pages 111-127, January.
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Cited by:
- Rongen, G. & Morales-Nápoles, O. & Kok, M., 2022. "Expert judgment-based reliability analysis of the Dutch flood defense system," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
- Jari Lyytimäki & Kirsi-Marja Lonkila & Eeva Furman & Kaisa Korhonen-Kurki & Satu Lähteenoja, 2021. "Untangling the interactions of sustainability targets: synergies and trade-offs in the Northern European context," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 3458-3473, March.
- Rajabzadeh, Vida & Hekmatzadeh, Ali Akbar & Tabatabaie Shourijeh, Piltan & Torabi Haghighi, Ali, 2023. "Introducing a probabilistic framework to measure dam overtopping risk for dams benefiting from dual spillways," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
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- Armstrong, J. Scott & Green, Kesten C. & Graefe, Andreas, 2014. "Golden Rule of Forecasting: Be conservative," MPRA Paper 53579, University Library of Munich, Germany.
- repec:cup:judgdm:v:8:y:2013:i:2:p:91-105 is not listed on IDEAS
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Keywords
Structural reliability; Subjective probability; Levees; Expert judgement; Elicitation; Calibration;All these keywords.
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