Difference between revisions of "Uncertainty"

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{{Encyclopedia}}
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[[Category:Glossary term]]<section begin=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.
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:'''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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:* scenario uncertainty (known outcomes, unknown probabilities)
 
:* scenario uncertainty (known outcomes, unknown probabilities)
 
:* identified ignorance (unknown outcomes, unknown probabilities).<section end=glossary />
 
:* identified ignorance (unknown outcomes, unknown probabilities).<section end=glossary />
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==References==
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The uncertainty report by WP 1.5.

Latest revision as of 12:33, 17 November 2009

<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.