Balakrishnan, 1994, On the Compound Generalized Poisson Distributions
, Astin Bulletin, 24: 255-263.
(In the Poisson distribution
tables, m is the mean value for the given grouping.)
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
Nonparametric Tests for Mixed Poisson Distributions
, by Jacques Carriere (The University of Manitoba, Winnipeg, Canada)