Uncertainty
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<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 />
References
The uncertainty report by WP 1.5.