2001
DOI: 10.1080/20018091094385
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Calculating and Describing Uncertainty in Risk Assessment: The Bayesian Approach

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Cited by 26 publications
(18 citation statements)
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“…There has, however also been a report on an opposite finding [19]. Examples on the application of the Bayesian approach about different measurement fields have also been published [20][21][22].…”
Section: Introductionmentioning
confidence: 91%
“…There has, however also been a report on an opposite finding [19]. Examples on the application of the Bayesian approach about different measurement fields have also been published [20][21][22].…”
Section: Introductionmentioning
confidence: 91%
“…Monte Carlo is the most widely used method for PRA. A number of articles indicate the increased use of Monte Carlo in risk assessment (Nayak and Kundu 2001;Linkov et al 2002;Kentel and Aral 2005;Mokhtari and Frey 2005). Therefore, in the second tier, the main tasks will incorporate Monte Carlo analysis into the exposure assessment and toxicity assessment to obtain a more detailed quantitative assessment.…”
Section: Discussionmentioning
confidence: 99%
“…Bayesian methods require elicitation of prior distributions for parameter values. Although these values are often criticized as subjective, they are also the best fitted for presenting uncertainty information in risk assessment (Nayak & Kundu, 2001). Moreover, non-Bayesian methods are also not entirely objective.…”
Section: Methodsmentioning
confidence: 98%
“…George Washington University Nayak and Kundu (2001) Uncertainty and variability in ecological population models Discusses treatments of variation and uncertainty in a variety of population models. Presents the rationale behind probabilistic risk assessment, identifies the sources of uncertainty, and provides an overview of the population models.…”
Section: Methodsmentioning
confidence: 99%