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The heteroscedasticity treatment in residual error models directly impacts the model calibration and prediction uncertainty estimation.
That is, there are numerous ways that a modeller can choose to structure his or her model, and this decision impacts the model outcomes.
This research is focused on the development of a sectional-based mechanistic model of nanowire growth and the determination of the level of impacts the model parameters have on the growth of nanowires, characterized in terms of their weight, diameter and length.
With the aim of displaying social and distributional impacts, the model was extended by 25 household groups according to their income and size of household.
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Franchises I write on franchising and how current events will impact the model.
If growth speeds or slows in the third quarter, those numbers would impact the model in one direction or the other.
Second, we removed outliers to avoid significantly impacting the model by including extreme values.
When the analysis indicates that parameter variation does not impact the model output, the parameter value can be fixed.
The introduction of the variable related to the occurrence of an adverse event impacted the model's performance.
We used the OI-MET-TF model to understand how known drug/gene interactions could impact the model and offer prioritized options for intervention.
We note that our model makes a number of gross oversimplifications in describing carcinogenesis that could potentially impact the model dynamics.
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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