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Poisson distribution

American  
[pwah-sohn, pwa-sawn] / pwɑˈsoʊn, pwaˈsɔ̃ /

noun

Statistics.
  1. a limiting form of the binomial probability distribution for small values of the probability of success and for large numbers of trials: particularly useful in industrial quality-control work and in radiation and bacteriological problems.


Poisson distribution British  
/ ˈpwɑːsən /

noun

  1. statistics a distribution that represents the number of events occurring randomly in a fixed time at an average rate λ ; symbol P 0 ( λ ). For large n and small p with np = λ it approximates to the binomial distribution Bi ( n,p )

"Collins English Dictionary — Complete & Unabridged" 2012 Digital Edition © William Collins Sons & Co. Ltd. 1979, 1986 © HarperCollins Publishers 1998, 2000, 2003, 2005, 2006, 2007, 2009, 2012

Poisson distribution Scientific  
/ pwä-sôn /
  1. 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).


Etymology

Origin of Poisson distribution

1920–25; named after S. D. Poisson (1781–1840), French mathematician and physicist

Example Sentences

Examples are provided to illustrate real-world usage of words in context. Any opinions expressed do not reflect the views of Dictionary.com.

See Examples For:

In a way, the Poisson distribution can be thought of as a clever way to convert a continuous random variable, usually time, into a discrete random variable by breaking up time into discrete independent intervals.

From Textbooks Nov. 29, 2017

The random variable for the Poisson distribution is discrete and thus counts events during a given time period, t1 to t2 on Figure 5.20, and calculates the probability of that number occurring.

From Textbooks Nov. 29, 2017

Classic Poisson distribution questions are "how many people will arrive at my checkout window in the next hour?"

From Textbooks Nov. 29, 2017

In this case, we were being a bit casual because the random variables of a Poisson distribution are discrete, whole numbers, and a box has width.

From Textbooks Nov. 29, 2017

A mathematical analysis showed the number of coincidences followed a Poisson distribution very closely.

From Disturbing Sun by Richardson, Robert S. (Robert Shirley)

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