Sentence examples for model under testing from inspiring English sources

Specifically we assume as true the model used to simulate the synthetic datasets and we check if IGpe* can be seen as a random realization from the IGpe distribution obtained for the model under testing.

Provided that the airstream is properly controlled, it is immaterial whether the stationary model under testing is designed to move through the air, as an aircraft, or to withstand wind pressures while standing in place, as a building.

Aerodynamic balances are employed in wind tunnels to estimate the forces and moments acting on the model under test.

However, this additional capability also presents technical challenges: waves generated on "one side" of the tank must be absorbed on the opposite side, together with any waves reflected or radiated by the model under test, to prevent contamination of the wave field.

The results show that the means of L-scores for earthquakes conforming to a model under test and for those with parameter uncertainties taken into consideration are similar whether computed by our method or by the method involving simulated catalogs.

To compare our procedure with the current one based on the Monte Carlo method, we randomly generated sets of 10,000 earthquake catalogs of two kinds: one set conforming to the model under test, and the other derived from the observed catalog allowing for uncertainties in magnitude and hypocentral parameters.

Comparative fit index (CFI) compares the fit of the model under test with a model in which none of the variables are related.

Finally, the test data corresponding to the selected channel and feature subset for the trained model under test was used to calculate the test error rate.

Eight of the papers herein describe different models under test.

In these tests, scores obtained from observed earthquakes are compared with distributions of scores estimated from earthquakes expected from the models under test.

These changes can be tested in silico to determine those which will discriminate best between the models under test, before undertaking experiments.