Sentence examples for models with sensitivity from inspiring English sources

Some assumptions, including evacuation compliance, shadow evacuation and vehicle use rates can be measured indirectly through questionnaires and tested in models with sensitivity analysis; others, such as the destination of evacuees, can only be presumed and aggregated.

As with the integration without sensitivities, precision/work diagrams were computed for all models with sensitivities, omitting the cases in which ode15s failed completely.

This economic evaluation study was developed by building a deterministic decision tree model with sensitivity analysis.

An energy management model, with sensitivity analysis for energy storage capacity investment and electricity load demand growth, for searching optimum operating policies for maximization of profit in a microgrid system in Taiwan is presented in [5].

Comparison between homoscedastic vs. heteroscedastic modeling of selected statistical parameters for DA indicates that heteroscedastic modeling does not improve over homoscedastic modeling, and that homoscedastic error modeling with sensitivity analysis may suffice for application of MLEF for soil moisture updating using streamflow data.

By modifying mode shapes of the reduced-order model with sensitivity analysis, the reduced-order model can accurately represent the first low order modes of the continuous propeller-shafting system, enabling the effectiveness of controller design in the physical state space.

Finally, these results demonstrate the importance of including a clear description of assumed risk factor mechanisms in studies using microsimulation models, along with sensitivity analyses showing how these assumptions influence results.

10 Dynamic economic models, together with sensitivity analyses around key assumptions, might have promise while also allowing non-healthcare costs to be factored, like absenteeism, which are likely to be more prominent considerations for patients than providers.

The linear programming assumes a linear behaviour between dependent and control variables around an operating point, modelled with sensitivities.

With Shenzhen City, a typical rapid urbanization area in China or even in the whole world, as the case, this study aims to simulate multiple land use dynamics by combining Monte Carlo approach to CA-ANN model, and to choose appropriate model parameters with sensitivity analysis on predicating variables, neighborhood size and cell size.

Furthermore Guha and Schürer have selected compounds in their training sets to have a toxic/non-toxic ratio of 1/1 [11], yet they also obtained models with low sensitivity.