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This presentation describes uncertainty and sensitivity analysis results for the nominal scenario class (i.e., for undisturbed conditions) obtained in the 2008 YM PA.
This presentation describes uncertainty and sensitivity analysis results for the seismic ground motion scenario class and the seismic fault displacement scenario class obtained in the 2008 YM PA.
This presentation describes uncertainty and sensitivity analysis results for the igneous intrusive scenario class and the igneous eruptive scenario class obtained in the 2008 YM PA.
This presentation describes uncertainty and sensitivity analysis results for the early waste package failure scenario class and the early drip shield failure scenario class obtained in the 2008 YM PA.
Parameter uncertainty describes uncertainty of parameters used in an assessment, such as those used in exposure-response functions.
Input data uncertainty describes uncertainty in datasets used in the 'execution' phase of IEHIA, such as exposure data or disease incidence data.
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Statistics describe uncertainty.
Further data models to describe uncertainty are presented additionally.
Outcome 2: Introduce students to the basic methods and concepts employed in statistics to estimate the parameters of models, make decisions, and to describe uncertainty.
There are several well-known theories to describe uncertainty.
Hostede and Hofstede (2001) describe uncertainty avoidance (UAI) as 'Uncertainty-avoiding cultures shun ambiguous situations.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com