Sentence examples for these two probability from inspiring English sources

We assume that, under these two probability measures, the canonical process ((eta_{t})_{tin{mathbb {R}}_) is a semimartingale with characteristics ((B^{psi},C^{psi},mu^{psi})) and ((B^{tilde{psi}},C^{tilde{psi}},mu^{tilde{psi}})), respectively.

As the mean contention window size for a uniform distribution and binominal distribution are equal, i.e., ((cw – 1)/2), it is possible to differentiate between the effects of these two probability distribution functions on the network performance using the non-p-persistent-based model.

The less these two probability distributions overlap, the more easily the two classes can be separated.

These two probability ranges accounted for 79.7% of all left-out samples.

These two probability functions and their peaks are two dimensional, so the 1D peak finding method does not directly apply.

The means and standard error of means for breeding success were calculated using these two probability distributions.

Multiplying these two probabilities out we conclude that under the Gilbert-Shannon-Reeds model the probability of this configuration is 1/16.

These two probabilities bound the probability of false alarm of the whole system.

Denote these two probabilities by η R and η P =1−η R, respectively.

Consider aggregating these two probabilities by taking an unweighted average of them: $r = p/2 + q/2$.

Denoting these two probabilities as and, the probability of detecting the block size correctly is simply equal to.