Sentence examples for probability to take from inspiring English sources

Furthermore, restrictions to legal migration imposed by receiving countries may increase the probability to take the illegal route.

Even though some training modules show a positive impact on the probability to take up employment, the combination of two or three modules in one program is rather ineffective.

The probability of fragmentation around 400 mm (16.84%), 500 mm (11.35%) and 580 mm (9.32%) above the burner plane are all higher than the probability around 100 mm, 200 mm and 300 mm above the burner plane, which indicates that the particle fragmentation has more probability to take place in the char gasification stage than in the pyrolysis stage in the OMB gasifier.

Therefore, I answer the question, "why people are willing to jeopardize their lives to go abroad and live in an underground economy?" More precisely, I compare potential legal and illegal migrants and focus on the role that expectations, migrant networks and migration policies have on the probability to take an illegal journey.

Nevertheless, if we could find an appropriate definition for the outage probability to take into account these additional constraints, we argue that the extra diversity order obtained by multiple access scheme will be maintained though a deteriorated outage performance might be observed.

The SLiMChance algorithm attaches a significance value to motifs returned by SLiMBuild by first calculating the probability of seeing that specific motif in at least as many unrelated proteins as observed, and then adjusting this probability to take into consideration the total motif space searched by SLiMBuild.

There are other axiomatizations that give up normalization; that give up countable additivity, and even additivity; that allow probabilities to take infinitesimal values (positive, but smaller than every positive real number); that allow probabilities to be imprecise (interval-valued, or more generally represented with sets of numerical values).

Models 2 and 3 estimate a higher probability for V Es with small p values for the KS tests, and model 3 fluctuates around these probabilities to take into account the disproportionality information.

Therefore, this paper implements a second order probability approach to take into account two types of uncertainty: aleatory (inherent randomness) and epistemic (incomplete information).

As it can be seen, a good choice providing both maximum throughput along with low collision probability is to take γ equal to zero.

It is helpful to bear in mind Pascal's interest in gambling (which after all provided the initial motivation for his study of probability) and to take the gambling model quite seriously here.