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In addition, they show that the proposed model has very good stability.
Validation of the regression analysis shows that the model has very high confidence.
Compared to normal component-based models the most significant of the current model is that this simplified model has very good numerical stability under static solver condition.
The classical Warburg model has very strict assumptions, however, it is used in a wide range of scenarios where assumptions may not be satisfied.
And it is shown that the proposed measurement model has very little linearization error, which can be critical for the EKF performance.
Indeed, collective voice in this particular model has very little traction unless it leads to a positive managerial response.
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In addition, the stain computed by the finite element model had very good agreement with the experimental data.
Accordingly, it has been found that the descriptors used in the proposed model have very low-inter-correlation.
Varying the model used from the proportional-odds model had very little effect.
Most notably, the parameter interactions in this specific CPM-based model have very low impact.
The last model had very good calibration and discrimination, and outperformed the model based on max SOFA alone.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com