Uncertainty analysis for simulation code validation

Best estimate simulations require the quantification of the systematic differences (biases) and random (or stochastic) variation between reality and simulation results. Uncertainty analysis, the quantification process, is an integral part of the code validation methodology in which the parameters by which phenomena are controlled or measured are assessed for accuracy and confidence level. This paper reviews techniques and provides a status report. (author)