Sentence examples for model parameters test from inspiring English sources

We estimated the statistical significance of model parameters, test of trend, and comparison in goodness of fit between models using likelihood ratio chi-square tests with df equal to the difference in number of parameters between the models being compared.

We evaluated the statistical significance of model parameters, test of trend, and comparison in goodness of fit between the models using likelihood ratio chi-square test with degrees of freedom (df) equal to the difference in number of parameters in compared models.

Of the 39 model parameters tested, the representation of subsurface processes and associated parameters, were consistently shown as critical to the model not meeting the evaluation criteria, irrespective of the chosen evaluation metric.

From this analysis and subsequent investigation, we find that cellular scale shrinkage has the largest influence of all model parameters tested, and that by adjusting cellular scale shrinkage population shrinkage varies widely even across simulations which contain the same fraction of dying cells.

For each model set, a one-sigma standard deviation of all model solutions was calculated for each model parameter tested.

This requires a new method to calibrate a consistent set of model parameters using test data from different load paths of classic geomechanical tests.

There is some uncertainty with this finding, with the results being sensitive to key model parameters for test accuracy (probability of unresectable disease (with curative intent) following CT scan that shows resectable disease, post-test probability of unresectable disease).

These observations were used to confirm the applicability of the proposed model and assess the sensitivity of the model parameters to test conditions.

Simulations are conducted across a wide range of model parameters to test the model thoroughly.

We varied each of the model parameters to test the robustness of the model and to see which parameters affected the oscillatory behaviour.

A detailed sensitivity analysis was performed on all model parameters, to test for robustness and identify key parameters impacting cost-effectiveness results.