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For both compared models, the goodness-of-fit index worsens as the model dimension increases.
We compared models with and without nonlinear (between-frequency) coupling in both forward and backward connections.
We compared models across different sample sizes and different total numbers of observations.
The main difference between the compared models consists in the evaluation of micromechanical constitutive parameters.
We also compared models relating occupancy of bat species to site-level characteristics using an information theoretic approach.
The results show that the performance of the proposed model is quantitatively better than the other compared models.
While ΔR 2 values for other cases are negative, the difference between the two compared models is negligible in the order of 10−3 at maximum.
The LR statistical test is applied under the null hypothesis that there is no difference between the two compared models (model 1 and model 2).
We observe two main differences between the compared models and the proposed DG3PD model: Two-part decomposition instead of three-part decomposition.
At the end of the analysis, it was observed that GFMAPR exhibited forecast superiority over all compared models with respect to small data size forecasting.
The sum of these relative weights was then deployed as the PE index for the model variants as well as the compared models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com