Sentence examples for relationship of the model from inspiring English sources

This is not a true reflection of reality, but one which is a good enough approximation for use within the biomedical sciences; in short, usability and simplicity have been considered to be more important in the modelling process than the relationship of the model to reality.

Figure 10 depicts the pushover curve which presents the base shear roof displacement relationship of the model structure.

For this study, PLS was chosen because of its minimal requirements regarding sample size and its prediction capability, the commonly accepted guideline for determining the minimum sample size is that it should be at least 10 times the number of predictors in the most complex relationship of the model (Fornell & Larcker, 1981; Gefen, Rigdon, & Straub, 2011).

The sub-networks were integrated one by one and the order was decided according to the genetic relationship of the model organisms with E. sinensis.

Inclusion of church affiliation as a covariate in the survival models slightly strengthens the relationship of the model predictions to survival (data not shown), indicating that the results reported in Table 3 are not confounded by smoking.

Suppose that a model that contains the stoichiometric matrix S provides the linear relationship of the model between the flux rates of the reactions (v) and the derivatives of the reactant concentrations (x).

2) On the violation of the predicted relationship of the modeling with increasing amount of the second component, which caused sharp decrease in the band spacing.

Figure 15 compares the base shear-roof displacement relationships of the model structures obtained by incremental dynamic analyses and nonlinear static pushover analyses.

Therefore, considering the homology of proteins and the genetic relationships of the model organisms with E. sinensis, the confidence score of the protein-protein interaction pairs in the PIN of E. sinensis was evaluated.

Cross-terms and second order terms of the output metrics were included in the inverse metamodelling to predict the input parameters, in order to better handle nonlinearities in the input output relationships of the model.

The form of this function, whether deterministic or stochastic, defines the relationship of the observation model to the epidemic model.