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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 target audience of this model are normally infrastructure architects.
Meteorological data used to initialise the model are normally obtained from measurements or from outputs from larger scale numerical models.
The residuals between the experimental data and estimates from the proposed model are normally distributed, with a mean of zero and a standard deviation of 1.
With the assumption that the error terms (ε 1, … ε n ) of the multivariate probit model are normally distributed, the probability of the four energy choices (discrete dependent variables) is expressed at n × n covariance matrix of [ρij].
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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.
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.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com