# Poisson distribution

Pois·son distributionOrigin of Poisson distribution

after S. D.*Poisson*(1781-1840), French mathematician

**MLA Style**

"Poisson distribution." YourDictionary, n.d. Web. 18 June 2018. <http://www.yourdictionary.com/poisson-distribution>.

**APA Style**

Poisson distribution. (n.d.). Retrieved June 18th, 2018, from http://www.yourdictionary.com/poisson-distribution

## Poisson distribution

noun

*Statistics*

Origin of Poisson distribution

*After Siméon Denis*

*Poisson*

*(1781-1840), French mathematician*

**MLA Style**

"Poisson distribution." YourDictionary, n.d. Web. 18 June 2018. <http://www.yourdictionary.com/poisson-distribution>.

**APA Style**

Poisson distribution. (n.d.). Retrieved June 18th, 2018, from http://www.yourdictionary.com/poisson-distribution

(*plural* Poisson distributions)

- (statistics) A limit of the binomial distribution for very large numbers of trials and a small probability of success.

After SimÃ©on Denis Poisson (1781-1840), French mathematician.

**MLA Style**

"Poisson distribution." YourDictionary, n.d. Web. 18 June 2018. <http://www.yourdictionary.com/poisson-distribution>.

**APA Style**

Poisson distribution. (n.d.). Retrieved June 18th, 2018, from http://www.yourdictionary.com/poisson-distribution

## poisson distribution - Computer Definition

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

Used by arrangement with John Wiley & Sons, Inc.

**MLA Style**

**APA Style**

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.

**MLA Style**

**APA Style**