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To get insight in the process we then modelled the experimental results with different classes of regression models; from modelling we could identify the special role played by some molecules and the relevance of their relative weight in the composition.
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Table 1: The fitting parameters used to model the experimental data*.
Box-Behnken design to model the experimental results was used.
The nonlinear diffusion model was applied to model the experimental data.
Another possible approach is to model the experimental situation in respect to the local slip s.
A simple electrical equivalent circuit (EEC) has been proposed to model the experimental data.
In an attempt to represent the described data in a clear overview, we modeled the experimental data using the general framework described by Roehrl et al. [19].
The process has been modeled simulating the experimental conditions.
These simulated events model the experimental conditions in detail, including the proton proton collision, the decays of the particles, and the response of the detector.
For evaluating the model, the experimental values of the responses were compared with the corresponding predicted values.
In models the experimental feeding site identification was added as a random effect.
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CEO of Professional Science Editing for Scientists @ prosciediting.com