Sentence examples for virtually all modelling from inspiring English sources
This executive summary fits some programmatic statements, much of the actual work and virtually all modelling efforts in DIT.
Two validation experiments were designed to simultaneously measure virtually all model outputs, often using multiple methods at many spatial locations.
Virtually all models developed to predict thermomechanical fatigue (TMF) behaviour are limited by the fact that life prediction is based on experimental data generated under conditions significantly different from the actual service conditions of most high-temperature components.
Multisource feedback is proposed as a central component in virtually all models of revalidation currently being considered by authoritative bodies in the UK 2 3 4 5 and elsewhere.
Yet, only Doebeli (2005) takes a mechanistic view on the process, and virtually all models consider the direct evolution of assortative mating.
This idea is supported by the observations that Sae2 and Mre11 process DNA hairpins both in vivo and in vitro,, and that virtually all models of TNR expansions envision a mutagenic intermediate comprised of a hairpin or other aberrant DNA structure.
While NESN was a premium channel that aired about half of the Red Sox schedule, YES became the first regional sports network to take baseball to a virtually all-cable model, prioritizing cable subscription fees (which they didnt have to split) over the larger ad money and promotional reach of free TV.
The paper provides several simulated examples, a small empirical example to demonstrate proof of concept, and a larger empirical example based on many experimental conditions and large samples that demonstrates that the individual models capture virtually all the variance in aggregate first choices traditionally modeled in discrete choice experiments.
The top drivers have die-cast models for virtually all the cars they drive, even if it is a simple switch in paint designs.
Evidently, the FiveThirtyEight forecasting model, like virtually all such models, isn't very good at predicting turning points.
Virtually all econometric models are conditional models.
