# Poisson Distribution

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Related to Poisson distributions: binomial distributions

## 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 ?
Balakrishnan, 1994, On the Compound Generalized Poisson Distributions, Astin Bulletin, 24: 255-263.
For the Poisson distribution the interest is in a random variable, X, that represents the number of occurrences of an event within a fixed time.
The truncated Poisson distribution on the given range [0, [n.sub.i]] is obtained by normalising the Poisson distribution, as follows:
gamma or Poisson distribution, with a choice of three link functions:
Whenever the assumption of Poisson distribution does not hold, statisticians tend to adopt alternative models to strengthen the quality control process.
57-60) addressed a problem that recurs in studies of spatial distributions of plants: How to calculate a random expected distribution, in the manner of a Poisson distribution, when the plants are large and take up nonnegligible fractions of the quadrats employed in their study.
Sampling from the poisson distribution on a computer, Computing 17, 1976, 147-156.
In this article, we assume that the number of accidents is based on a Poisson distribution but that the number of claims is generated by censorship of this Poisson distribution.
The model structure can be based on a normal, gamma or Poisson distribution, with a choice of three link functions: the identity, logarithm and reciprocal link functions.
In this section predictive distributions for the exponential and Poisson distributions are provided.
Nonparametric Tests for Mixed Poisson Distributions, by Jacques Carriere (The University of Manitoba, Winnipeg, Canada)
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