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Conceptual models are normally used to document the generic business process requirements in the company.
Models are normally described using Domain-Specific Modeling Languages (DSMLs), which provide primitives and constructs of the domain.
Climate models are normally used to show how the climate's behaviour will respond to changes in things like greenhouse-gas levels.
Coefficients of crop cultivars, a required input for the application of crop simulation models, are normally derived from experiments designed specifically for their estimation.
Neighborhood rules in CA models are normally derived by analyzing raster maps, while in reality, urban planning is based on parcels.
Thus, land surface models are normally used to predict the evolution of soil moisture and yet, despite their importance, these models are based on low-resolution soil property information or typical values.
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If the residuals after fitting the model are normally distributed (normality test), then the residuals represent random errors in the data.
For the purpose of comparison, additional generalized additive models (gam) were parameterized, because the prediction accuracy of the mean population model of mixed models is normally a little lower.
Residuals from all models were normally distributed, or approximately so, without evidence of heteroskedasticity.
The residuals of all these models were normally (symmetrically) distributed, judged by visual inspection.
The residuals of all these models were normally distributed, judged by visual inspection.
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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