Aspects of modeling uncertainty and prediction
Conference
·
OSTI ID:10129394
Probabilistic assessment of variability in model prediction considers input uncertainty and structural uncertainty. For input uncertainty, understanding of practical origins of probabilistic treatments as well as restrictions and limitations of methodology is much more developed than for structural uncertainty. There is a simple basis for structural uncertainty that parallels that for input uncertainty. Although methodologies for assessing structural uncertainty for models in general are very limited, more options are available for submodels.
- Research Organization:
- Los Alamos National Lab., NM (United States)
- Sponsoring Organization:
- Nuclear Regulatory Commission, Washington, DC (United States)
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 10129394
- Report Number(s):
- LA-UR-94-605; CONF-9310294-1; ON: DE94007565
- Resource Relation:
- Conference: International workshop on model uncertainty: its characterization and quantification,Annapolis, MD (United States),20-22 Oct 1993; Other Information: PBD: [1993]
- Country of Publication:
- United States
- Language:
- English
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