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A robust Approach to QMU, Validation, and Conservative Prediction

Technical Report ·
DOI:https://doi.org/10.2172/1089986· OSTI ID:1089986
 [1];  [1];  [2]
  1. Sandia National Laboratories (SNL-CA), Livermore, CA (United States)
  2. Thomas Paez Consulting, Sedona, AZ (United States)

A systematic approach to defining margin in a manner that incorporates statistical information and accommodates data uncertainty, but does not require assumptions about specific forms of the tails of distributions is developed. This approach extends to calculations underlying validation assessment and quantitatively conservative predictions.

Research Organization:
Sandia National Laboratories (SNL-CA), Livermore, CA (United States); Thomas Paez Consulting, Sedona, AZ (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
AC04-94AL85000
OSTI ID:
1089986
Report Number(s):
SAND--2013-2823; 456363
Country of Publication:
United States
Language:
English

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