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Figure 5 shows the possibility distribution of the LCC prediction model output, where only parameter uncertainty is propagated.
Our study pin-points the difference between parameters that have a quantitative, modulatory impact on model output, where the perturbation size is correlated with the change in model output, and parameters that are essential to the system in a qualitative manner.
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b Ray model outputs where the depth of the source (moving boat) was set to 0.5 m.
These metrics are calculated by comparing the estimated niche suitability values from individual pixels in Maxent model outputs, where those outputs have first been normalized such that all predicted suitability values in the geographic space sum to 1 [ 26].
The $79 XD model supports 1080p/720p output where the $59 base Roku 2 only does 720p.
Because of the moderate contribution of the indirect pathway to the final model output, a scenario where individual animals were released each to different destination herds did not significantly affect the model's final outcome.
This will be a huge resource to the climate and applications communities that will allow researchers to analyze the model output, assess when and where there is skill, better understand the underlying processes and model weaknesses, combine models together and eventually build applications that can help in decision support.
Table 3 presents the a and b coefficients of a linear fit (regression line) of the model output to the data, where a is the intercept and b the slope of the fit.
If there are N input points x i of original data represented by corresponding model output points y i, where i = 1 … N, we define sums ( {S}_x={displaystyle sum_i{x}_i} ), ( {S}_y={displaystyle sum_i{y}_i} ), ( {S}_{xx}={displaystyle sum_i{x}_i^2} ), ( {S}_{yy}={displaystyle sum_i{y}_i^2} ), and the combination ( varDelta =N{S}_{xx}-{S}_x^2 ).
This is shown in Figure 4D, where model output is fitted to experimental data.
With the exception of the survival analysis and the binomial generalized linear models, where the model output is reported, we followed model simplification by sequentially dropping the least significant term and comparing the change in deviance with and without the term to chi-square distributions until the minimal adequate model was reached.
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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