Sentence examples for model deviations were from inspiring English sources

Null model deviations were assessed with goodness-of-fit tests, and interpreted in terms of hypothesized mechanisms of nebkha pattern formation.

When only one nickel species (Ni2+) is considered in the model, large deviations are observed between the model and the experimental data at intermediate and high overpotentials of the voltammograms.

In the GVD model, the deviations are a function of gene vertex degree and in the LVD model the deviations are dependent on list vertex degrees.

As previously, the mean of the PPP-values was close to 0.5 for both models (from 0.453 to 0.502 with model 1 and from 0.514 to 0.538 with model 2) while standard deviations were lower and decreased with the level of differentiation (from 0.131 to 0.191 with model 1 and from 0.129 to 0.183 with model 2).

PU-QOL data was tested against model expectations and any deviations were examined to determine whether scales could be improved.

The reflectance spectra were averaged within each ROI of these models, and the spatial deviations were calculated.

In the remaining models, the deviations are functions of both the gene and the list vertex degrees.

If needed, suitable interaction terms for these possible deviations were then modeled.

System and individual component performance is analyzed and compared with cycle model predictions, and deviations are explained.

Observed events are then compared to these models and possible deviations are classified as potential intrusions [46].

Its performance is better than previous one dimensional models and the deviations are explained in tenns of the operative conditions and of the value of dimensionless groups.