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Exact(7)
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].
Monte-Carlo simulations suggest that a multivariate regression model is adequately powered when using 10 outcome events per degree of freedom of the predictor variable [ 17].
Similar(53)
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.
In general, it can be stated that most of the constructs in the model are adequately measured.
Collectively, these results suggested that our memory/processing speed model was adequately operationalized by successfully identifying variables and latent factor that were clearly related.
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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