Sentence examples for its probability for from inspiring English sources

That is, for a given neighbor, its probability for activation, Pact neighbor) = P dim [1−exp(− k act Δt)], if (and only if) the partner is already activated.

For a given unknown mismatch site existing in multiple tissues, a PSS was given to test its probability for either a genome variation (PSS = −1, with mismatch ratio ≥ 95% or between 40% ~ 60%) or an editing (PSS = 1, with mismatches ratios between 5% ~ 40% or between 60% ~ 95%) in each sample.

The analysis of transcript sequences and homologies, however, is only suggestive and we have to consider the case where the event of non-specific binding is admissible for virtually all probe sets, even if its probability for each of them is low.

Referring to the process models and task descriptions, the team used a modified failure modes and effects analysis (FMEA) to consider each potential error for its probability of occurrence, its consequences if it should occur and be undetected, and its probability of detection.

The upshot is that in strong mixing systems, being in a state B at some past time becomes increasingly irrelevant for its probability of being in the state A now, as the temporal distance between A and B becomes larger.

In a next step, this RMS value had to be tested for its probability of having been obtained while the null-hypothesis was true.

Corresponding analysis procedures are then provided to calculate the fuzzy risk and its probability of the stability failure for gravity dams.

History will not be kind to this claim, which has a dog-ate-my-term-paper quality: the extravagant profusion of supporting theories argues against its probability, not for it.

More specifically, if the user had a transmission in the current time slot, it reduces its access probability for the next time slot.

Also, if the user did not have a transmission in the current time slot, it increases its access probability for the next time slot.

If no nodes transmits in the first or starting slots then each node adjust its estimation of competing nodes by multiplicatively increasing its transmission probability for the next slot selection cycle.