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 ?
Also utilized in this study were various statistical methods, including least-square linear regression analysis, Fisher's exact test for 2x2 contingency tables, Spearman's rho, Kendall's tau, the Bernoulli process, and the Poisson distribution.
First the Poisson distribution will be introduced since it is from the Poisson process that the exponential model is often generated (Chou 1969, 215).
To determine the truncated Poisson distribution with rate [[lambda].
However, we found that these generalizations of the zero-inflated Poisson distributions have a particular application to insurance data.
and it consists of normal, lognormal and Poisson distributions.
The probability that n photoelectrons are produced is determined by the Poisson distribution,
ij]) = 1, for the Poisson distribution (or "overdispersed" when [phi] > 1) V([[mu].
The effect of the mean-variance relationship for the gamma and Poisson distributions can be shown by choosing one of these distributions and moving the slider.
First, one may consider mixed Poisson distributions by treating [lambda] as the outcome of a random variable.
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)
Lundgren proves that it is indeed a general relation for compound Poisson distributions as long as the individual claim rates are stable relative to the average claim rate over the period analyzed.