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Funded by the US and UK military, the model is normally updated every five years.
In global SA, a linear regression model is normally applied to sampled-based solutions by stepwise manners, and the relative importance of variables is examined by sensitivity indexes.
In channel coding and estimation (rows 8 9 and 16), the signal model is normally deterministic.
Remark 5.3 According to Theorem 5.2, we may conclude that the generalized hierarchical teaching model is normally better than the generalized traditional teaching model.
Consequently, the reduced-order model is normally smaller and more accurate on a broader parameter range when multiple expansion points are used.
Thus, the MR-FDPF model is normally limited to simulate the small cell scenarios, such as the indoor radio propagation scenarios.
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If the residuals after fitting the model are normally distributed (normality test), then the residuals represent random errors in the data.
Here we assumed the individual-specific non-price preference coefficients that had no statistically significant effects in the basic MNL model are normally distributed and correlated with a price coefficient that is log-normal distributed and constrained to be negative.
The residuals of the model were normally distributed as confirmed by visual inspection and a non-significant Shapiro test (p = 0.62).
The residuals of the model were normally distributed as confirmed by visual inspection and a non-significant Shapiro test (p = 0.11).
Meteorological data used to initialise the model are normally obtained from measurements or from outputs from larger scale numerical models.
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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