A sensitivity analysis study evaluates uncertainties in a model’s output based on the changes in the input parameters of the model.
A sensitivity analysis study evaluates uncertainties in a model’s output based on the changes in the input parameters of the model. A good sensitivity analysis model1 should have the following properties:
Adaptability to scale and shape. It is important to consider both the range of variation of the input and the form of its probability density function when determining the influence on the output.
It should include the effect of variation of all parameters on the output, which would provide a more multi-dimensional approach to the analysis.
The ability to be model independent. Models can be additive or linear, and the method should work regardless.
Allowing grouped parameters to be tr
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