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Our analysis shows that the stochastic models based on correlated multiplicative errors are the most plausible models among the four models proposed in this study.
Tests with artificially created data sets show that the genetic algorithm approximates the most plausible models faster than a random-driven brute-force search.
Red bats used a wide range of stand ages and conditions and, based on our most plausible models for macrohabitat variables, roosted closer than expected (x¯= 70.6 m) to linear openings such as gated roads.
The results reveal a considerable range in the influence of cross-diffusion predicted by the various models; however, the most plausible models show significant cross-diffusion effects, including reductions in the peak flame temperatures and minor species concentrations for all flames.
First, the most plausible models included the effect of total landscape forest cover in all cases, with the effects observed in opposite directions for forest specialist and habitat generalist species.
The complexes with the lowest spatial variations were chosen as the most plausible models.
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To determine the most plausible model candidate is the objective of model selection or model discrimination methods.
The Bayesian information criterion is used to select the most plausible model among the candidate joint distributions, given the data.
Four classes of shear building models were studied and the MCMC-based Bayesian model class selection was developed to identify the most plausible model class.
The current investigation sought to robustly determine the underlying factor structure of the EPDS and the replicability and stability of the most plausible model identified.
In the first phase, the Bayesian model class selection method is used to select the most plausible model class from a list of predefined candidates based on a given set of measurements.
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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