Sentence examples for between the two probability from inspiring English sources

The test is based on the distance between the two probability density functions.

The deflection coefficient is a measure of the separation between the two probability density functions under the two hypotheses.

In the setting of simple hypotheses, the optimal coalition is obtained as the set for which the Radon-Nikodym derivative between the two probability measures corresponding to the two hypotheses exceeds a threshold.

Relative entropy is the measure of divergence between the two probability distributions of residues.

In this paper, we propose a performance metric equation that makes a trade off between the two probabilities depending on the network preferences.

The discrepancy between the two probabilities yields a large value of exp ( − γ Y ν ( t ∗ ) ) in Equation 24, leading to the strong weight change.

In our example, the probability of observing k heads out of n tosses becomes To reject with 85% confidence the value of 0.0934 as the probability of seeing a head, the absolute difference between the two probabilities, 0.0934 and 0.0676, must be greater than or equal to 1.037 times the SD,.

In addition, the quadruplet test is often able to determine the direction of a conversion event by computing the probabilities of going down within the common maximum descent regions of the two triplets and determining the significance of the difference between the two probabilities based on a binomial distribution [ 12].

The probability of occurring DOMCT + Q is expressed as the multiplication between the following two probabilities: (i) the probability that the ongoing transmission of the other AP satisfies MIM constraints on more than one link of an opportunistic AP, and (ii) the probability that the frame on the FIFO queue does not have any concurrent transmission opportunity.

The difference Δ p between those two probabilities indicates how well the classifier is able to distinguish controls from diseases.

In statistical theory, the Hellinger distance measures the similarity between two probability distribution functions, by calculating the overlap between the distributions.