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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.
It is known that the resulting solution of FBA especially when applied to genome scale models is normally not unique [ 65].
First, constructing metabolic models is normally a slow, tedious and labor-intensive process, including over 90 steps from assembling genome annotations of target organisms to validating the metabolic model by various "omics" studies [ 16].
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Climate models are normally used to show how the climate's behaviour will respond to changes in things like greenhouse-gas levels.
Conceptual models are normally used to document the generic business process requirements in the company.
The error terms in all four models are normally distributed, their mean is zero and variance is finite.
Models are normally described using Domain-Specific Modeling Languages (DSMLs), which provide primitives and constructs of the domain.
In terms of spatial dependency, spatial econometric models are normally categorized into spatial autoregressive models (SAR) and spatial errors models (SEM).
Note that the NB models are normally used in empirical Bayes (EB) framework to better capture the local experience of safety levels [1, 6].
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.
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CEO of Professional Science Editing for Scientists @ prosciediting.com