Sentence examples for equal probability distribution from inspiring English sources

Generally, the probability events follow an equal probability distribution, giving.

Because this study employs an equal probability distribution of an eruption occurring at any location in the AVF, the percentage values also represent the likelihood that a future AVF eruption will generate the number of evacuees listed in each class.

We also assumed an equal probability distribution of a new vent forming anywhere in the AVF and calculated population evacuation demand (at 100-metre resolution) during day and night for every point in the AVF.

Sometimes the probability for each event may not be same, but you do not know the probabilities, so any probability distribution is possible and equal probability distribution is also possible.

The calibrated date from the base of the coastal Erebus Cove core provides two age ranges (1910 1890 and 1830 15 cal year AD) with equal probability distributions (Table  1).

In the setting of equal probability of distribution and sampling of types, the Chao1 estimator yield a point estimate of richness.

Since the number Y of multicast data transmissions until the multicast data frame is successfully transmitted to n recipients equals, the probability distribution of Y can be obtained as.

This criterion implies that if the social planner is indifferent between the distributions of utilities, for two individuals, (1,0) and (0,1), then he must also be indifferent between these two distributions and an equal probability of getting either distribution.

If no prior knowledge of true infection status or prevalence is available, uniform prior distributions ("flat" probability distributions with equal probability assigned to a large range of parameter values) may be used [26].

Using a probabilistic combination technique, the linear system of GM-ELM can provide the response probability distribution equal to the Gaussian mixture estimation of the nonlinear response distribution.

The value of p i (t) is either 1 or −1 with equal probability and obey Bernoulli distribution.