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In model-based economic evaluations, modelling uncertainty should be investigated as well because structure, methods, and assumptions of models are subject to uncertainty.
This technique propagates parameter and underlying modelling uncertainty through the model by means of first and second-order Monte Carlo simulation.
One of the main objectives is to show how to determine the structure and parameters of the neural network as well as how to estimate the modelling uncertainty of the resulting neural model.
The model further accounted for differences in survey methods and representativeness, and sampling and modelling uncertainty.
In the present work, a systematic method for estimating wind flow modelling uncertainty is presented.
It is only recently that researchers have been modelling uncertainty and multi-period issues.
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The modelling uncertainties and measurement errors are taken into account at the design stage.
Sensitivity and parametric studies are performed with respect to random variables representing modelling uncertainties.
The tracking control problem of an inverted pendulum on a cart, operating under modelling uncertainties and stochastic perturbations is addressed.
This is achieved by comparing predicted and experimental system response quantities (SRQs) taking into account experimental and modelling uncertainties.
Moreover, the MCS method along with response surface was applied to propagate modelling uncertainties and fit a response surface to sensitivity analysis results.
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CEO of Professional Science Editing for Scientists @ prosciediting.com