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The model satisfies all the six key requirements discussed in the paper.
It is observed that the model satisfies the negative imaginary condition.
To estimate the shear capacity, the model satisfies the equilibrium in the longitudinal (vertical) direction.
So, if the model satisfies this assumption, positive evidence of model fit is available.
Finally, it is necessary to evaluate and to validate if the model satisfies the process properties.
Red points indicate that the model satisfies the empirical threshold in the specific forecast month.
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The parameters in the model satisfy all the conditions of Theorem 4.5.
In the Cox model, the proportionality assumption was tested and the model satisfied the assumption.
The monitor described above allows to verify if all executions of the model satisfy a certain specification.
All of these tests showed that the model satisfied all of the assumptions, and the effect of the complex sample design was considered in all of the analyses.
However, the validity of the network model was thoroughly tested, and the model satisfied the three basic requirements of a network model: low to moderate heterogeneity of the trials, adequate fit of the model, and consistency with direct comparison analysis.
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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