Abstract
A summary description of the Joint CEC/USNRC uncertainty analysis of accident consequence models for nuclear power plants is given. The problem of post processing is introduced as the problem of projecting a joint distribution over observable variables onto the parameter space of a mathematical model. A conditional sampling algorithm is presented which works in simple cases. For more complex cases, two approaches are described and results are compared

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