A → probability function that characterizes
→ discrete
→ random events occurring independently of one another within
some definite time or space. It may be regarded as an approximation of the
→ binomial distribution
when the number of events becomes large and the probability of success
becomes small. The Poisson distribution is expressed by:
f(x) = (λxe-λ)/x!,
where λ is the mean number of successes in the interval,
e is the base of the → natural logarithm, and
x is the number of successes we are interested in.
See also: Named after Siméon Denis Poisson (1781-1840), French mathematician, who developed
the application of
Fourier series to physical problems and made major contributions to the theory of
probability and to the calculus of variations; → distribution.