Sentence examples for model was adequately from inspiring English sources

These considerations suggest the model was adequately corroborated based on existing data and outlined objectives.

In case of all fracture intervals, petrophysical properties and in-situ stresses decreased and therefore, the model was adequately sensitive to the fractures.

The model was adequately validated by simulation of the removal of a 1 1 (w/w) ethyl acetate/toluene mixture in a peat biofilter operating under similar operating conditions than in the single pollutant biofiltration.

Collectively, these results suggested that our memory/processing speed model was adequately operationalized by successfully identifying variables and latent factor that were clearly related.

Results showed that the model was adequately specified (linktest was not statistically significant) and had good fit (p-value for Hosmer and Lemeshow's test = 0.75).

Because the VQSLOD score of all of the SNPs in the comparison were assigned under the same Gaussian mixture model and because the model was adequately trained as shown by the IF validation, comparisons of the relative sensitivity and specificity between the sets can be made.

According to REACH (Annex XI) [3] a QSAR model is valid if: The model is recognized as scientifically valid; The substance is included in the applicability domain of the model; Results are adequate for classification and labeling and for risk assessment; The model is adequately documented.

It is shown that the model is adequately validated by our experiment.

If the model is adequately parameterized to estimate basin discharge in unimpaired locations, then the model can be used to assess nearby locations with similar physical watershed characteristics that are ungaged.

A scaled simplified nose landing gear model is also measured as a benchmark test, results reveal that noise radiated from the model is adequately higher than the background noise for a wide frequency range and remarkably consistent with other results from literatures.

With larger datasets, ML yields increasingly accurate estimates of nuisance parameter values; as sequence length approaches infinity, the likelihood of the true phylogeny (with the correctly estimated branch lengths) is guaranteed to exceed that of any other phylogeny (with any branch lengths), so long as the model is adequately parameterized and identifiable [9], [13].