Humble
发表于 2025-3-26 23:38:34
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贵族
发表于 2025-3-27 02:01:40
Anca M. Hanea,Gabriela F. Nane,Simon FrenchContributions of Roger Cooke and the Classical Model, as well as a section on Training and Education.Based on the COST (European Cooperation in Science & Technology) Action on “Expert Judgement”.Analy
trigger
发表于 2025-3-27 08:13:05
International Series in Operations Research & Management Sciencehttp://image.papertrans.cn/e/image/319147.jpg
Manifest
发表于 2025-3-27 09:59:00
Macro-policy for Sub-Saharan Africa,This is the oration delivered in accepting the position of Professor in Applications of Decision Theory at the Faculty of Technical Mathematics and Informatics at the Delft University of Technology, Delft on November 8, 1995 by Dr. R. M. Cooke (Translated from Dutch by the author).
landmark
发表于 2025-3-27 16:14:06
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Analogy
发表于 2025-3-27 17:46:13
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Grievance
发表于 2025-3-27 22:08:55
Scientific Advice: A Personal Perspective in Dealing with Uncertainty. An Interview with Prof Dame AProf Dame Anne Glover is former Chief Scientific Advisor to the President of the European Commission and prior to that to the Scottish Government. In this article she discusses uncertainty and scientific advice to policy makers in conversation with Prof Tim Bedford.
躺下残杀
发表于 2025-3-28 05:07:45
Book 2021 adversarial risk analysis approach for structured expert judgment studies..The second part includes Roger Cooke’s oration from 1995 on taking up his chair at Delft University of Technology; one of the editors reflections on the early decade of the Classical Model development and use; a current over
流出
发表于 2025-3-28 08:08:22
Are Performance Weights Beneficial? Investigating the Random Expert Hypothesising within the elicited percentile values and the expected probability based on the percentiles specified in the elicitation. The later gauges an expert’s ability to concentrate high probability mass in small interquartile intervals. Some critics argue that this performance-based model fails to outp
arthrodesis
发表于 2025-3-28 13:48:07
Three-Point Lifetime Distribution Elicitation for Maintenance Optimization in a Bayesian Contexti.e., survival data up to the time the component was preventively maintained. Since the Bayesian paradigm is well suited to deal with scarcity of data, the formulated prior . above is updated using all available failure time and right-censored maintenance data in a Bayesian fashion. Multiple posteri