Sentence examples for models varied with from inspiring English sources

The virtual models varied with staffing level, number of assigned emergency network hospitals, and various two-tier rescue probabilities.

To check whether the accuracy of volatility forecasting among the different models varied with distribution assumptions, we compared the log-likelihood, Schwarz Bayesian information criterion (SBC), and Akaike information criterion (AIC) for all of the models, estimating for whole-sample observations under normal and Student's t-error distribution.

Hypothesis testing indicated that the specificity of the Serfling, trimmed seasonal and generalized linear models varied with the study calendar year and study month (p < 0.05) over a range of mean specificities between 0.50 and 0.99.

Performances of both traditional and TAGGING-assisted QTL models varied with the densities of maps and selection p. However, the prediction ability of TAGGING models was greater than the respective traditional QTL mapping methods for all selection p and thinning intensities tested.

The performances of both discrete and TAGGING QTL models varied with the densities of maps and selection p. In general, for EJF, sparse maps and relaxed p were favorable in prediction, and for JF, dense maps and stringent p were favorable.

While their business models vary with their audiences, they share some common approaches.

Despite this dynamic similarity, the models vary with respect to the range of dynamics captured.

Additionally, because of the differing sensitivities of the models, the response degree of forest primary productivity models varies with the model adopted (Leinonen and Kramer 2002; Vitasse et al. 2011).

Two principal issues are examined: the extent to which the temporal transferability of predictive accident models varies with model complexity; and the practicality and efficiency of two alternative updating strategies.

The available models vary with respect to possible level of detail where a gain in detail comes at the cost of additional computational effort.

Furthermore, a number of the independent variables in the adjusted models vary with time.