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In probability theory, statistics and related fields, a Poisson point process (also known as: Poisson random measure, Poisson random point field and Poisson point field) is a type of mathematical object that consists of points randomly located on a mathematical space with the essential feature that the points occur independently of one another. The…
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process poisson point textstyle displaystyle points random processes lambda measure number space probability intensity homogeneous used mathematical distribution independent function
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Poisson point process | Mean | a 0 , t = ∫ 0 t λ ( α ) d α {\displaystyle a_{0,t}=\int _{0}^{t}\lambda (\alpha )d\alpha } | 1.00 | infobox |
| Poisson point process | Variance | a 0 , t + ( a 0 , t ) 2 − ( a 0 , t ) 2 = a 0 , t {\displaystyle a_{0,t}+(a_{0,t})^{2}-(a_{0,t})^{2}=a_{0,t}} since R x ( t 1 , t 2 ) = a 0 , m i n ( t 1 , t 2 ) + a 0 , t 1 a 0… | 1.00 | infobox |
| Poisson point process | is a | underlying process to study how plants are distributed in plant communities | 0.90 | text |
| transmitters in a wireless network | instance of | can represent the locations of scattered objects | 0.80 | text |
| particles colliding into a particle detector | instance of | can represent the locations of scattered objects | 0.80 | text |
| or trees in a forest | instance of | can represent the locations of scattered objects | 0.80 | text |
| lines | instance of | consist of more complicated mathematical objects | 0.80 | text |
| polygons | instance of | consist of more complicated mathematical objects | 0.80 | text |
| and such processes can be based on the Poisson point process | instance of | consist of more complicated mathematical objects | 0.80 | text |
| the plane where it plays a role in stochastic geometry | instance of | in higher dimensions | 0.80 | text |
| spatial statistics | instance of | in higher dimensions | 0.80 | text |
| complete randomness | instance of | the number of points of a Poisson point process in each bounded subregion will be completely independent of all the others.This property is known under several names | 0.80 | text |
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