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Poisson distribution

(statistics on count of events happening within a given interval)

The Poisson distribution gives the probability of each possible number of occurrences of an event happening within a given interval, specifically for events that are independent but happen with a fixed probability per unit time. It is named for French mathematician Siméon Denis Poisson.

f(k;λ)

= probability(X = k)

   λke
= ——————
    k!

For example, if something occurs on average 1.1 times per second (i.e., λ=1.1), then the probability of 6 occurrences within some specific second (i.e., k=6) is:

 1.16e-1.1
—————————
   6!

(mathematics,statistics,probability)
Further reading:
https://en.wikipedia.org/wiki/Poisson_distribution
https://mathworld.wolfram.com/PoissonDistribution.html
http://ned.ipac.caltech.edu/level5/Berg/Berg5.html
http://ned.ipac.caltech.edu/level5/Leo/Stats2_2.html
https://www.itl.nist.gov/div898/handbook/eda/section3/eda366j.htm
https://faculty.fiu.edu/~bekkerl/Poisson%20distribution%20examples.pdf
http://sces.phys.utk.edu/~moreo/mm08/Haohu.pdf
https://pages.cs.wisc.edu/~matthewb/pages/notes/pdf/distributions/Poisson.pdf
https://www.acsu.buffalo.edu/~adamcunn/probability/poisson.html

Referenced by page:
photon noise

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