Sentence examples for model analyses require from inspiring English sources

Most welfare model analyses require high-quality data for cross-national and historical perspectives [47, 97, 98].

In general, the solution of this class of problems is computationally very demanding due to the large number of finite element model analyses required during the design process.

Hypotheses are needed before data collection because model-driven quantitative analyses require rich dynamic data collected under defined conditions and stimuli.

Non-linearity, due to convective fluid acceleration, makes this challenging, especially in three dimensional (3D) models; so CFD analyses require significant computational power and time.

Because fixed effects models of panel data analyses require weights to be consistent within firms from a statistical perspective, the balanced sample needs to be calculated by an ordinary least squares regression with firm and year fixed effects and robust standard errors according to Huber (1967) and White (1980).

Such analyses require many assumptions, including a model for population change and a model for variance.

As models become larger and more complex, simulations and analyses require increasing amounts of computational power.

These analyses require considerably much computation time.

Comparative analyses require control experiments.

Determining the dynamic behaviour of lightweight buildings by means of finite element analyses requires models representing the geometry involved in great detail, resulting in systems having many millions of degrees of freedom.

Topographic data are increasingly available at high resolutions (<10 m) over large spatial extents to support detailed flood inundation modeling and loss estimation analyses required for flood risk management.