# Poisson-distribution meaning

pwä-sôɴ
A probability distribution which arises when counting the number of occurrences of a rare event in a long series of trials.
noun
(statistics) A frequency distribution that may be regarded as an approximation of the binomial distribution when the number of events becomes large and the probability of success becomes small.
noun
A probability distribution which arises when counting the number of occurrences of a rare event in a long series of trials. It is named after its discoverer, French mathematician and physicist Siméon Denis Poisson (1781–1840).
A statistical method developed by the 18th century French mathematician S. D. Poisson, which is used for predicting the probable distribution of a series of events. For example, when the average transaction volume in a communications system can be estimated, Poisson distribution is used to determine the probable minimum and maximum number of transactions that can occur within a given time period.
A probability theory that expresses the probability of events occurring in a fixed period of time if each event is independent of the previous event. In traffic engineering, that theory means Drops Bridge Headend Point-to-Point Point-to-Multipoint that each call is completely independent of any previous call.There are a number of other techniques based on other assumptions underlying other formulas that yield different results. See also Erlang; Erlang B; Erlang C; Equivalent Queue Extended Erlang B; Extended Erlang B; Poisson, Sim.