Sentence examples for model would tend from inspiring English sources

In this case, the model would tend to assume that the Boondocks poll is a true outlier and that the result reflects something wrong with their methodology rather than anything informative about the state of the race in Ohio.

Such interactions, which don't appear in the model, would "tend to damp this violent physics" of throwing Uranus and Neptune out.

But the model would tend to see the justice required in terms of medical correction or material compensation – though it might also support social and environmental measures seen as alleviating some of the "sequelae" of impairment.

In almost every case the simplifications reflected in this model would tend to underestimate the true cost-effectiveness of the vaccine.

Breast-feeding, however, increases exposure to perchlorate (Valentin-Blasini L, Blount BC, Otero-Santos S, Bernbaum JC, Cao Y, Rogan WJ, unpublished data) and introducing such an exposure variable into the statistical model would tend to bias, usually by decreasing, the coefficient for perchlorate (Greenland et al. 1999).

Because the probability of a nonsense error at a codon is inversely proportional to the amount of tRNAs available (Gilchrist, 2007; Shah and Gilchrist, 2010), incorporating nonsense errors into our model would tend to exaggerate the effects of CAI and mRNA abundance on protein yield.

In cases where such differentiation is possible, however, multiple-property models would tend to increase bite force and also strain energy, and would need to be standardized before comparisons are made across homogeneous and heterogeneous models.

Although this cannot be absolutely disproved, the UKCAT specific effects observed in the models would tend to counter this hypothesis.

Other algorithms that search for globally optimal candidate models would tend towards trees that are optimal for some tree complexity.

If all the pieces of music had similar patterns of movement across the tonal surface, the permuted models would tend to be as probable as the original model, rendering the original model nonsignificant.

That sounds like a model that would tend to overstate the effects of major events that favoured one candidate or the other.