Sentence examples for these two probabilities from inspiring English sources

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.

Therefore, these two probabilities can be written using the probabilities defining the motion language module and the natural language module.

Indeed, these two probabilities do not have the same expression if T d ≤T m or where T d ≥T m.

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.