Sentence examples for models applied and from inspiring English sources

These are the URR assumptions used, the models applied, and the historical production data used.

To account for the non-linearity arising from the polynomial demand function, various solution approaches are applied and space-elasticity effects either assumed to be linearly dependent on the number of facings, approximated by piecewise linearization, or non-linear models applied and solved with heuristics.

The significant association of mortality with other covariates such as the employment rate or the geographical latitude was not consistently observed in all models applied and valid conclusions regarding their potential effects, based solely on statistical grounds, cannot be drawn.

While we are aware of the loss of information due to dichotomization of core variables, we nevertheless maintain that the statistical models applied and the large sample size may give us conservative estimates of the hypothesized associations.

The discrepancy with our data could result from methodological differences (data preprocessing, artefacts correction and diffusion tensor imaging models applied) and small groups (n = 15) of patients with GTS included in these studies.

Disagreement between mtDNA and nDNA estimates is not directionally consistent, i.e., many mtDNA estimates are older than nDNA counterparts, but there are examples of the opposite pattern [ 13],[ 48],[ 50], and discordant timescales might also arise from other factors that differ between analyses: the selection and placement of calibrations, the clock models applied, and the taxa sampled.

Strikingly, the studies conducted show great variations in terms of case management model applied and outcome measures used.

This means that workforce planning should not be seen as a once-off endeavour with the model applied and then forgotten.

First, we test if the assumptions of the model apply, and show that mothers leave more grandchildren through their sons than through their daughters.

If it did so, then our model applies and has the potential to explain the observed polymorphism in humans as well.

Both genomic selection models applied, BayesCπ and RR-BLUP, resulted in very similar prediction accuracies.