# Cumulative probability distribution

Also found in: Acronyms.

## Cumulative probability distribution

A function that shows the probability that the random variable will attain a value less than or equal to each value that the random variable can take on.
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Under the neutral climate change scenario, and assuming that fishing is only conducted by the Sinaloa RSV, the cumulative probability distribution of NCI shows a probability lower than 8% of incurring losses; under the monotonic warming scenario, the probability of yielding a positive NCI is 23%.
95 or 99 percent), the credits' correlation and unconditional probabilities of default, and the binomial cumulative probability distribution.
where w is the probability mass function, [delta] (x-n) is a delta function, and [PHI] is the cumulative probability distribution function.
The conditional probability, P(DS[greater than or equal to]ds|D=d) is expressed by a cumulative probability distribution.
Further, the cumulative probability distribution function, P(a) = [summation over z [less than or equal to] a] p(z), represents the proportion of the population with risk aversion measure no greater than a.
FSD holds whenever one cumulative probability distribution lies entirely, or partly, under another.
Figures 1a and 1b illustrate the shape of the cumulative probability distribution for the default rate of an asymptotic portfolio for selected default correlation values ([rho]) and unconditional probability of default (PD) characteristics.
N](x) is the cumulative probability distribution function (CPDF) of the number of fatalities per year, signifying the probability of less than fatalities per year.
The cumulative probability distribution function for the distance between two mobiles therefore is formulated as
These plots show voltage magnitude probability and cumulative probability distributions in which the magnitude probabilities over the phase range have been summed together at a given frequency.
Stochastic dominance tests are used to establish preferences among cumulative probability distributions.
Recall that the familiar Kolmogorov-Smirnov test compares two univariate cumulative probability distributions by determining if [D.
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