Sentence examples for modelling predictions obtained from inspiring English sources

Thus, modelling predictions obtained with the steady state approximation can give inaccurate values for species concentrations.

The FCV approach and the CDM behavioural model are presented and comparisons are made between the experimental data and the modelling predictions obtained on plates with open holes, notches and saw cuts.

Model predictions obtained by finite element simulations compared very well to the experimental data and therefore the model relevance for computer assisted application design was assessed.

To demonstrate the feasibility of the proposed micromechanical model, predictions obtained via the proposed multi-phase micromechanical model are compared with the experimental data, including results from extreme states during the EDM healing process.

Shown in green is the observed magnetic field signature (delta F) (after removal of core, crust, and magnetospheric contributions), along with model predictions obtained using (L_1) (black) and (L_2) (red) norm regularization.

The model predictions obtained at the collective scale were compared to the experimental values for (a) the mean latency of the first follower's departure (Fig. 3, middle column) and (b) the mean duration from the trained individual's departure to the last follower's (Fig. 3 right column).

Figure 2 shows two examples of model predictions obtained for all acceptable parameter sets for the depositioning of hepatic triglycerides and cholesterylesters in cytoplasmic and endoplasmic reticulum fractions.

As suggested, we have improved Fig. 2 by adding lower and upper bounds to the model predictions obtained by considering the whole range of the parameter uncertainties.

This leads to increased uncertainty in the model which we estimate by comparing the model predictions obtained using atmospheric soundings taken at 0000 and 1200 on 22 May 2010, with fixed source conditions.

In the textbook version of a parametric bootstrap, n pseudo observations of Y are generated a large number of times (say B) by adding a random draw from the observed empirical regression residuals to the n model predictions obtained from the original regression model and the observed explanatory variables.

Such a process is fundamentally iterative, where each iteration involves making model predictions, obtaining experimental data, reconciling the predicted outcomes with experimental ones, and using discrepancies to update the in silico model.