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A special model was constructed and model choice was performed separately for red mullet (Mullus barbatus), common pandora (Pagellus erythrinus) and annular sea bream (Diplodus annularis) based on the AIC value (Akaike, 1974) while considering every possible simpler sub-model following the procedure described in Wienbeck et al. (2011).
In both cases, the final model choice was based on the analyses of residuals.
Model choice was performed in MODELTEST 3.6 [118] by the likelihood ratio test with significance level set at 1%. ML trees are available upon request.
This error in model choice was due to the preponderance of the fast phase of exponential decay in this zone, combined with the relatively low numbers of total draws (relative to the asymptotic need for large data sets for optimal model choice).
Model choice was guided by the lowest Akaike criteria value.
A motivation of the model choice was only provided in 27.3% of the studies.
Similar(47)
A random-regret minimization-based hybrid choice model is proposed to simultaneously estimate these effects.
Important implications for interpretation and model choice are discussed.
The model choice is related to drain type and dewatering stage.
Computational aspects related to the specification of starting values, convergence assessment and model choice are also discussed.
Although assessments such as those described here are recommended, awareness of their lack of robustness to outcome scale and model choice is important.
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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