Sentence examples for scope of a model from inspiring English sources

Systematic reviews of models and presentations of classification schemes [14 17] fall into this category and are important for modellers, model users, and decision makers to identify the potential application scope of a model.

Question 1 relates to an extension in scope of a model that is primarily geared to analyse longer term effects of policies and market developments, and has to date only been used in studies at an EU-wide level.

Phenotypes that are outside the scope of a model may frequently play a role in evolution.

Because the scope of a model is determined by its intended uses, models should be developed with their ultimate uses in mind.

Interactions with intrinsic variables; that is, individuals' immutable properties like sex, race and birth date are often regarded as an indication of a narrow scope of a model [ 31].

In terms of modeling processes Edmonds explains context as the set of factors that define the scope of a specific model [9].

The importance of applicability domain (AD) [17] (i.e., the scope and limitations of a model) has long been discussed and emphasized in other research fields such as quantitative structure activity (property) relationship (QSAR) analysis [17], [18], [19], [20].

Based on the results obtained within the scope of the model of a piecewise-homogeneous medium and the 3-D stability theory, the accuracy of a continuum theory is examined for incompressible non-linear materials undergoing large deformations.

The study by Silverman et al. [31] did not appear to extend far enough to calculate the impact of screening on mortality, while the other [35] did not include mortality in their parameters, stating that it was 'beyond the scope of the model', although a lifetime time horizon was utilised.

On a population level, the model is a PK/PD-model, but when applied on an individual level, the lack of PK observations changes the scope of the model to a more empiric kinetic-pharmacodynamic (KPD) model.

Although very accurate models can be obtained under classical approaches while restricting the scope of the model to a particular aspect of the problem, other methods are needed to model phenomena grasping their whole complexity.