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A methodology for quantifying uncertainty in models [electronic resource].

Published:
Rockville, Md. : U.S. Nuclear Regulatory Commission, 1993.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Physical Description:
4 pages : digital, PDF file
Additional Creators:
Los Alamos National Laboratory, U.S. Nuclear Regulatory Commission, and United States. Department of Energy. Office of Scientific and Technical Information
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Summary:
This paper, condensed from McKay et al. (1992) outlines an analysis of uncertainty in the output of computer models arising from uncertainty in inputs (parameters). Uncertainty of this type most often arises when proper input values are imprecisely known. Uncertainty in the output is quantified in its probability distribution, which results from treating the inputs as random variables. The assessment of which inputs are important (sensitivity analysis) with respect to uncertainty is done relative to the probability distribution of the output.
Report Numbers:
E 1.99:la-ur--93-3160
E 1.99: conf-9309215--1
conf-9309215--1
la-ur--93-3160
Subject(s):
Other Subject(s):
Note:
Published through SciTech Connect.
09/01/1993.
"la-ur--93-3160"
" conf-9309215--1"
"DE93040154"
Surety technology symposium,Chelyacinsk (Russian Federation),28 Sep - 2 Oct 1993.
Beckman, R.J.; McKay, M.D.
Funding Information:
W-7405-ENG-36
View MARC record | catkey: 14354915