Sentence examples for model would reduce from inspiring English sources
We did not perform additional uncertainty or sensitivity analyses because the computational costs of doing so remain prohibitive and changing any of the assumptions of the poliovirus transmission and OPV evolution model would reduce its consistency with observed behavior in the modeled specific situations unless we recalibrate the entire model [ 47].
We sought to evaluate the effectiveness of the Fleetwood Model of pharmacy practice on improving resident outcomes and hypothesized that this model would reduce potentially inappropriate medication use, hospitalizations, and death.
Mayor Michael R. Bloomberg and youth advocates have lobbied for the change, saying that by housing young people closer to their homes and focusing on rehabilitation, the new model would reduce the chances of juveniles reoffending, make neighborhoods safer and save the state millions of dollars.
The switch to a borrower-ownership model would reduce the number of applications that are aborted when the appraised value turns out to be too small to support the transaction.
This "simple" model would reduce the risk of overfitting.
Use of this model would reduce a large number of biopsies while missing few cancers.
Integrating these models would reduce the limitations of individual models to better assess possible greenhouse mitigation.
Automating the extraction of cloud cost models would reduce error and time, and prevent lock-in [69, 70], so another area of future work is the creation of a model extraction approach and tool for our cloud cost models.
This advantage to hierarchical models would reduce with smaller σ.
This article's model law, for example, would reduce uncertainty and should also achieve significant cost advantages both to debtor-states and to their creditors over the sovereign-debt-restructuring status quo.
Despite the fact that such model specifications would reduce the subjective character of our proposed model, they would probably impede the modeling of expected long-term trend changes in forecast years if past data do not already incorporate them.
