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The AM_CZ model had low FA, but the DR was insufficient.
When the data are generated from the MNB-Pois model, the MNB-Pois model had low percent relative median biases for β 1, β 2 and β 3, and the biases appear to decrease as sample sizes increase (Table 4).
However, the statistical model had low statistical power for a QTN that was in a different linkage phase from Labrador retrievers which comprised ∼50% of the individuals.
However, this multivariate model had low predictive accuracy (area under the ROC curve, 0.68).
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Model (1 and 2) had low information compared to model (4) because of the truncation (i.e parasite below and/or above τ were each categorized in one group), and hence the first model had lowest information.
The developed model has low computational complexity, which makes it suitable for control design and real-time implementation.
This allows the mapping of local reliability across different locations in the training set space, and thus allows identifying regions where the model has low reliability.
Pressure coefficients calculated with this method were found to be in good agreement with the results of the tests performed on the wall model having low flexibility ratio.
A plausible model has low, preferably non-significant χ2 values.
However, the SF model has low temporal resolution (annual).
A plausible model has low, preferably non-significant χ values.
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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