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Selection between alternative model structures can also be performed at this step.
A large number of possible model structures can be parameterised to match epidemiological data.
Alternatively, simplified model structures can be applied that capture the relevant process governing information flow without over-parameterization.
To demonstrate the role Fourier analysis can play in this processes, two specific model structures can be considered.
Model selection between alternative model structures can also be performed in the same setting, based on the predictive power of the model structures on the validation dataset.
The distribution of errors for each criterion for each possible complexity of the model structures can be seen in Additional file 1: Figure S6.
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Using the fractional differential calculus for modeling supercapacitors, the model structure can be of low complexity.
This indicates that errors in model structure can result in large biases in the simulated runoff.
The derived model structure can be used for the dynamic modeling of bimorph piezo motors in general.
The model structure can be the same as specified for the choice model of transport mode used for reaching the primary destination (cf formula 6).
Additionally the development of the patient collective for each NYHA class and its course through the model structure can be observed over time.
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