Sentence examples for using pessimistic from inspiring English sources

Using pessimistic estimates of variation, heritability, and selection intensity, Nilsson and Pelger came to the conclusion that it would take 364,000 generations for a fish eye to evolve.

Inspired by Cohen et al. [ 14, 15], the aim of the present paper is to explore the effect of such targeted immunization strategies on the course of an epidemic considering a real disease -smallpox- using pessimistic assumptions and suboptimal vaccines.

We describe and evaluate DPS, which uses pessimistic concurrency control for cluster resource sharing.

In this case, even when analysts used pessimistic assessments expressed by a manager who initially recommended remaining with the box, the analysis showed that the profitability would be greater with the bag.

The study makes a start on achieving this aim by using realistically pessimistic data in its economic modelling to show how low carbon status would save money.

The Postal Service is not only required to build up a massive level of prefunding, it also is using more pessimistic assumptions about cost growth than any known plan in the private sector.

Whilst the assumptions in the base case scenarios are the best representation of the available evidence, a range of further analyses have been performed using more pessimistic assumptions around the size of effect and duration of effect of the intervention as well as the length of the intervention and the staff costs of the GPs delivering the SBIs.

When in doubt (no accurate knowledge of actual spatial resolution), the best strategy, therefore, is to use a pessimistic (i.e. probably too high) estimate for FWHM, e.g. 8 mm even if actual resolution might be 6 mm.

To address the overall performance using optimistic and pessimistic situations together in IFEs, we propose a hybrid IFDEA performance decision model.

Using a more pessimistic view of TiVo's pricing leverage, Horace pegged the company's value at only $4 per share.

This will be supported by a sensitivity analysis reporting all cases where the primary outcome is available and using optimistic and pessimistic scenarios with the imputed estimates for missing data [ 27].