The dangers of sparse sampling for the quantification of margin and uncertainty

  title={The dangers of sparse sampling for the quantification of margin and uncertainty},
  author={François M. Hemez and Sezer Atamturktur},
  journal={Rel. Eng. & Sys. Safety},
Activities such as global sensitivity analysis, statistical effect screening, uncertainty propagation, or model calibration have become integral to the Verification and Validation (V&V) of numerical models and computer simulations. One of the goals of V&V is to assess prediction accuracy and uncertainty, which feeds directly into reliability analysis or the Quantification of Margin and Uncertainty (QMU) of engineered systems. Because these analyses involve multiple runs of a computer code, they… CONTINUE READING


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