QRA seeks to numerically assess probabilities for the potential consequences of risk, and is often called probabilistic risk analysis or probabilistic risk assessment ( PRA ).
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For example, the probabilistic risk analysis of factors determining the success of an oilfield exploration program involves combining samples from a variety of statistical distributions using the Monte Carlo method.
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Her research and that of her Engineering Risk Research Group have focused on the inclusion of technical and management factors in probabilistic risk analysis models with applications to the NASA shuttle tiles, offshore oil platforms and medical systems.
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