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For each pair, only one of the modules appears in a given model; that is, they are mutually exclusive.
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The creators of a given model, the publications that have led to the model and the references of the model are crucial metadata about the model.
For example, an Akaike weight of 0.80 for a given model indicates that this model has an 80% chance of being the Akaike 'best-ranked' model among the set of candidate models.
If the results for a given model indicated that a linear model provided an adequate fit (Wald χ p-value > 0.05), we reported the results from a linear model.
The m potential functions ϕ i defined on unknown parameters θ reflect substantive knowledge on reaction kinetics for a given model such that regions of interest in the parameter space are prescribed prior to a posterior analysis.
To determine predicted reliability, the publication's staff averages the overall reliability scores for the most recent three model years, assuming that a given model has not changed during that period and was not redesigned for 2013.
A given model produces a fold shape that depends on the amount of shortening, the fault shape and, eventually, the fault propagation history.
That often means that a given model will work great for you if you're a white male but then fails black women, for example.
A higher EDM indicates that a given model will be easier to detect than a model with a lower EDM.
Significant χ results suggest that a given model is a significantly poorer fit than the saturated model.
Significant χ results indicate that a given model is a poorer fit relative to the comparison model.
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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