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- Q7915756 subject Q7483215.
- Q7915756 subject Q8729850.
- Q7915756 abstract "Variance-based sensitivity analysis is a form of global sensitivity analysis. Working within a probabilistic framework, it decomposes the variance of the output of the model or system into fractions which can be attributed to inputs or sets of inputs. For example, given a model with two inputs and one output, one might find that 70% of the output variance is caused by the variance in the first input, 20% by the variance in the second, and 10% due to Interactions between the two. These percentages are directly interpreted as measures of sensitivity. Variance-based measures of sensitivity are attractive because they measure sensitivity across the whole input space (i.e. it is a global method), they can deal with nonlinear responses, and they can measure the effect of interactions in non-additive systems.".
- Q7915756 wikiPageWikiLink Q1530791.
- Q7915756 wikiPageWikiLink Q1623338.
- Q7915756 wikiPageWikiLink Q1665869.
- Q7915756 wikiPageWikiLink Q175199.
- Q7915756 wikiPageWikiLink Q1889114.
- Q7915756 wikiPageWikiLink Q215067.
- Q7915756 wikiPageWikiLink Q22963169.
- Q7915756 wikiPageWikiLink Q232207.
- Q7915756 wikiPageWikiLink Q274506.
- Q7915756 wikiPageWikiLink Q29256.
- Q7915756 wikiPageWikiLink Q486902.
- Q7915756 wikiPageWikiLink Q625303.
- Q7915756 wikiPageWikiLink Q6496514.
- Q7915756 wikiPageWikiLink Q660848.
- Q7915756 wikiPageWikiLink Q6692743.
- Q7915756 wikiPageWikiLink Q6736213.
- Q7915756 wikiPageWikiLink Q7269435.
- Q7915756 wikiPageWikiLink Q7483215.
- Q7915756 wikiPageWikiLink Q7550116.
- Q7915756 wikiPageWikiLink Q8729850.
- Q7915756 wikiPageWikiLink Q9492.
- Q7915756 comment "Variance-based sensitivity analysis is a form of global sensitivity analysis. Working within a probabilistic framework, it decomposes the variance of the output of the model or system into fractions which can be attributed to inputs or sets of inputs. For example, given a model with two inputs and one output, one might find that 70% of the output variance is caused by the variance in the first input, 20% by the variance in the second, and 10% due to Interactions between the two.".
- Q7915756 label "Variance-based sensitivity analysis".