Your English writing platform
Discover LudwigExact(2)
The robustness of an acid hydrolysis model can be determined by comparing the model generated yield profiles to a more stringent set of fitting criteria.
We defined a number of fitting criteria: sufficient closeness of predicted to observed metabolite concentrations, no drop in flux into glycolysis, and an energy charge of at least 0.8 [77].
Similar(58)
The goodness-of-fit criteria demonstrated an adequate fitting of the model.
The three model specifications were tested for over-fitting using standard goodness-of-fit criteria such as the deviance and the AIC (Akaike information criteria).
In the end, this strategy amounts to examining a range of alternatives, and choosing the best-fitting model, based on some goodness-of-fit criteria.
Two goodness-of-fit criteria are utilized for determining the best number of change points to avoid over-fitting.
In addition none of the other fitting criteria were met, indicating that a 3-factor model fitted the data better than either a 2-factor or a 1-factor model.
It does not require sum-of-squared residuals as fitting criteria and, hence, allows data analysis that is also robust against extraneous data.
Specifically, we applied automated rules with no manual interpretation of results with respect to the following: a) selection of the BMR value, b) choice of the models(s), c) model fitting criteria, d) computation of the BMDL, and e) reporting of BMD and BMDL values.
To characterize how well each of the four models reproduced individual fitting criteria, we generated a standardized grading system that accounted for the unique nature of our dataset (Table 6).
The best-fitting model was selected on the basis of a statistical goodness-of-fit criterion [Schwarz information criterion (Schwarz 1978)].
Write better and faster with AI suggestions while staying true to your unique style.
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