Difference between revisions of "Uncertainty"
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| − | [[Category:Glossary]] | + | [[Category:Glossary term]]<section begin=glossary /> |
| − | + | :Uncertainty refers not only to statistical uncertainty. The typology used in INTARESE builds on an adapted version of the Walker & Harremoës framework. | |
:One dimension of uncertainties is the location of uncertainties (where the uncertainty is located). For most models it is applicable to distinguish between: | :One dimension of uncertainties is the location of uncertainties (where the uncertainty is located). For most models it is applicable to distinguish between: | ||
:* context | :* context | ||
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:* statistical uncertainty (known outcomes, known probabilities) | :* statistical uncertainty (known outcomes, known probabilities) | ||
:* scenario uncertainty (known outcomes, unknown probabilities) | :* scenario uncertainty (known outcomes, unknown probabilities) | ||
| − | :* identified ignorance (unknown outcomes, unknown probabilities). | + | :* identified ignorance (unknown outcomes, unknown probabilities).<section end=glossary /> |
Revision as of 10:03, 28 April 2008
<section begin=glossary />
- Uncertainty refers not only to statistical uncertainty. The typology used in INTARESE builds on an adapted version of the Walker & Harremoës framework.
- One dimension of uncertainties is the location of uncertainties (where the uncertainty is located). For most models it is applicable to distinguish between:
- context
- model structure
- inputs
- parameters
- model outcome (result)
- For the other dimension of uncertainties it is distinguished between three levels of uncertainties:
- statistical uncertainty (known outcomes, known probabilities)
- scenario uncertainty (known outcomes, unknown probabilities)
- identified ignorance (unknown outcomes, unknown probabilities).<section end=glossary />
