Abstract
Risk assessment models relate actions to their probable consequences. Ideally, a prospective risk assessment model should identify the potential consequences of alternative risk management actions and quantify their probabilities if each action is taken. In addition, a thorough quantitative risk assessment (QRA) must characterize uncertainty about these probabilistic predictions and their sensitivities to different assumptions and modeling choices. Predictions of probable consequences and their uncertainties provide the crucial information needed to make well-informed choices among different actions.
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© 2002 Springer Science+Business Media New York
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Cox, L.A. (2002). Risk Assessment Modeling. In: Risk Analysis Foundations, Models, and Methods. International Series in Operations Research & Management Science, vol 45. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0847-2_2
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DOI: https://doi.org/10.1007/978-1-4615-0847-2_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5268-6
Online ISBN: 978-1-4615-0847-2
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