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It provides powerful mechanisms for model structuring and consistent model re-use, and a variety of tools are available that are based on the Modelica formalism.
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Compared to previously published cost-effectiveness models [ 22- 26], our modeling study made several updates in the model structure and inputs.
It should be noted that structural identifiability assumes an ideal context of error-free model structure and noise-free measurements.
Detailed model structure and the software implementation are described.
both model structure and parameter errors.
We describe a systematic approach to evaluating differences in model assumptions and results, as well as differences in modeling culture underlying the differences in model structure and parameters.
The LSMs biases are caused by errors in forcing data, model structure and model parameterisation.
This includes studying existing sampling algorithms; their relative efficiencies in relationship to hierarchical model structure; and potential modifications to existing sampling algorithms, including hybrid designs.
The Supplemental Figure 1 shows study site locations, Figure 2 shows the stream network model structure, and Figure 3 shows the location and hydrography of the Little Tennessee River network used in model simulations.
Different model structures and parameters were determined based on multiple linear regression and principal component regression.
injective model structure, and continuous if it is left and right-continuous.
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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