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The model of preference for compartment modelling was selected based on AIC values.
The template used in this modelling was selected from template identification function in the SWISS-MODEL program.
In the case of heterogeneity, however, random-effect modelling was selected, which assumes that each study result is randomly distributed around the true value.
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The best model was selected using model selection procedure (AICc).
The final model was selected using forward selection.
In each run, the model was selected in a stepwise selection with all variables entered.
The OLS model was selected using a forward-backward model selection algorithm.
Inputs of models was selected using Gamma test.
Therefore, the k-ϵ turbulence model was selected for numerical modeling of the Savonius wind turbine.
A 90% confidence set of models was compiled if no best model was selected via AICc.
Instead, in this study, a representative model was selected for each basin after reviewing existing models.
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