# Poisson Distribution

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Related to Poisson Distribution: binomial distribution, Poisson process

## Poisson Distribution

In statistics, a distribution representing the probability of a random event that occurs at regular intervals on average. Each event occurs independently of every other one.
References in periodicals archive ?
The number of mislaid eggs was positively correlated with total nests when accounting for number of breeding females at each site in (A) one-egg clutches (GLMM with Poisson distribution: total nests, n = 111, A= 0.015, SE = 0.005, F= 9.65, P = 0.002), (B) two-egg clutches (GLMM with Poisson distribution: total nests, n = 111, b = 0.013, SE = 0.006, F= 5.5, P = 0.02), and (C) both one- and two-egg clutches combined (GLMM with Poisson distribution: total nests, n = 111, b= 0.016, SE = 0.005, F= 15.46, P < 0.001).
This possibility is due to the simple form of the Laplace transform of a Poisson distribution, as well as that of the finite dimensional distribution of the ARG process.
3.1.a Definition: Neutrosophic Poisson distribution of a discrete variable X is a classical Poisson distribution of X, but its parameter is imprecise.
1(b), nodes added to the community with the number of times follows [beta] parameter Poisson distribution per unit of time.
Murugusundaramoorthy, "Subclasses of starlike and convex functions involving Poisson distribution series," Afrika Matematika, vol.
, [X.sub.n] indeed come from the Poisson distribution with parameter [??], denoted as Poi([??]).
Also, the proposed model produces networks with out-degree distributions that follow exponential and Poisson distributions. This contrasts with the out-degree distributions of several real networks in which the out-degree distribution follows a power-law.
(2) The arrival of tasks follows the Poisson distribution and the length of the queue is unbounded.
Moreover, the number of the Dev-Txs in each cluster follows a Poisson distribution with mean [[lambda].sub.t].
The parameter of the Poisson distribution, [lambda], represents the average number of the considered rare events per unit (of time, length, etc.).
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