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The sensitivity analysis of the model parameters indicated that the reaction kinetics parameters are the major source of uncertainty in the modelling of photocatalytic reactors.
It is concluded that the influence on the predicted response is observable, but the contribution is low compared to the overall uncertainty in the modelling of the wind field.
A probabilistic approach was adopted because of the level of uncertainty in the modelling.
Uncertainty in the modelling of long-term outcomes will be subject to extensive sensitivity analysis to explore the robustness of the cost-effectiveness analysis.
Uncertainty in the modelling of noise at low levels and lack of information on roads with low volumes of traffic meant that a cut-off value was introduced in each country based on a local assessment of the input data and noise model characteristics [ 2].
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The upper and lower dashed lines show the uncertainty in the models and the middle dashed line shows the average.
The Sobol indices show how uncertainty in the model output is apportioned to the uncertainty in the model input.
Parameter uncertainty in the model is addressed via one-way and probabilistic sensitivity analysis.
A deterministic sensitivity analysis was carried out to quantify the underlying uncertainty in the model.
This is an ideal case when there is no uncertainty in the model.
Output uncertainty bounds were determined as a function of uncertainty in the model parameter values.
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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