About: Quantification of margins and uncertainties

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Quantification of Margins and Uncertainty (QMU) is a decision support methodology for complex technical decisions. QMU focuses on the identification, characterization, and analysis of performance thresholds and their associated margins for engineering systems that are evaluated under conditions of uncertainty, particularly when portions of those results are generated using computational modeling and simulation. QMU has traditionally been applied to complex systems where comprehensive experimental test data is not readily available and cannot be easily generated for either end-to-end system execution or for specific subsystems of interest. Examples of systems where QMU has been applied include nuclear weapons performance, qualification, and stockpile assessment. QMU focuses on characterizin

Attributes	Values
rdf:type	software
rdfs:label	Quantification of margins and uncertainties (en)
rdfs:comment	Quantification of Margins and Uncertainty (QMU) is a decision support methodology for complex technical decisions. QMU focuses on the identification, characterization, and analysis of performance thresholds and their associated margins for engineering systems that are evaluated under conditions of uncertainty, particularly when portions of those results are generated using computational modeling and simulation. QMU has traditionally been applied to complex systems where comprehensive experimental test data is not readily available and cannot be easily generated for either end-to-end system execution or for specific subsystems of interest. Examples of systems where QMU has been applied include nuclear weapons performance, qualification, and stockpile assessment. QMU focuses on characterizin (en)
dcterms:subject	Numerical analysis Nuclear stockpile stewardship Decision-making
Wikipage page ID	15855253 (xsd:integer)
Wikipage revision ID	1114838819 (xsd:integer)
Link from a Wikipage to another Wikipage	Probability distribution Sandia National Laboratory Decision support system NASA Los Alamos National Laboratory Stochastic Stockpile Numerical analysis Nuclear weapon Nuclear stockpile stewardship Decision-making Lawrence Livermore National Laboratory Engineering system Uncertainty quantification Verification and validation Verification and Validation Design margin
sameAs	Quantification of margins and uncertainties Quantification of margins and uncertainties Quantification of margins and uncertainties
has abstract	Quantification of Margins and Uncertainty (QMU) is a decision support methodology for complex technical decisions. QMU focuses on the identification, characterization, and analysis of performance thresholds and their associated margins for engineering systems that are evaluated under conditions of uncertainty, particularly when portions of those results are generated using computational modeling and simulation. QMU has traditionally been applied to complex systems where comprehensive experimental test data is not readily available and cannot be easily generated for either end-to-end system execution or for specific subsystems of interest. Examples of systems where QMU has been applied include nuclear weapons performance, qualification, and stockpile assessment. QMU focuses on characterizing in detail the various sources of uncertainty that exist in a model, thus allowing the uncertainty in the system response output variables to be well quantified. These sources are frequently described in terms of probability distributions to account for the stochastic nature of complex engineering systems. The characterization of uncertainty supports comparisons of design margins for key system performance metrics to the uncertainty associated with their calculation by the model. QMU supports risk-informed decision-making processes where computational simulation results provide one of several inputs to the decision-making authority. There is currently no standardized methodology across the simulation community for conducting QMU; the term is applied to a variety of different modeling and simulation techniques that focus on rigorously quantifying model uncertainty in order to support comparison to design margins. (en)
gold:hypernym	Methodology
prov:wasDerivedFrom	wikipedia-en:Quantification_of_margins_and_uncertainties?oldid=1114838819&ns=0
page length (characters) of wiki page	16242 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Quantification_of_margins_and_uncertainties
is Link from a Wikipage to another Wikipage of	QMU Uncertainty quantification
is Wikipage disambiguates of	QMU
is foaf:primaryTopic of	wikipedia-en:Quantification_of_margins_and_uncertainties

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