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- Poisson_process abstract "In probability theory, a Poisson process is a stochastic process that counts the number of events and the time that these events occur in a given time interval. The time between each pair of consecutive events has an exponential distribution with parameter λ and each of these inter-arrival times is assumed to be independent of other inter-arrival times. The process is named after the French mathematician Siméon Denis Poisson and is a good model of radioactive decay, telephone calls and requests for a particular document on a web server, among many other phenomena.The Poisson process is a continuous-time process; the sum of a Bernoulli process can be thought of as its discrete-time counterpart. A Poisson process is a pure-birth process, the simplest example of a birth-death process. It is also a point process on the real half-line.".
- Poisson_process wikiPageID "102660".
- Poisson_process wikiPageRevisionID "604010725".
- Poisson_process hasPhotoCollection Poisson_process.
- Poisson_process subject Category:Markov_processes.
- Poisson_process subject Category:Poisson_processes.
- Poisson_process subject Category:Spatial_processes.
- Poisson_process subject Category:Stochastic_processes.
- Poisson_process type Abstraction100002137.
- Poisson_process type Act100030358.
- Poisson_process type Activity100407535.
- Poisson_process type Cognition100023271.
- Poisson_process type Concept105835747.
- Poisson_process type Content105809192.
- Poisson_process type Event100029378.
- Poisson_process type Hypothesis105888929.
- Poisson_process type Idea105833840.
- Poisson_process type MarkovProcesses.
- Poisson_process type Model105890249.
- Poisson_process type PoissonProcesses.
- Poisson_process type Procedure101023820.
- Poisson_process type PsychologicalFeature100023100.
- Poisson_process type SpatialProcesses.
- Poisson_process type StochasticProcess113561896.
- Poisson_process type StochasticProcesses.
- Poisson_process type YagoPermanentlyLocatedEntity.
- Poisson_process comment "In probability theory, a Poisson process is a stochastic process that counts the number of events and the time that these events occur in a given time interval. The time between each pair of consecutive events has an exponential distribution with parameter λ and each of these inter-arrival times is assumed to be independent of other inter-arrival times.".
- Poisson_process label "Poisson process".
- Poisson_process label "Poisson-Prozess".
- Poisson_process label "Proces Poissona".
- Poisson_process label "Proceso de Poisson".
- Poisson_process label "Processo di Poisson".
- Poisson_process label "Processus de Poisson".
- Poisson_process label "Процесс Пуассона".
- Poisson_process label "عملية بواسون".
- Poisson_process label "泊松过程".
- Poisson_process sameAs Poisson-Prozess.
- Poisson_process sameAs Proceso_de_Poisson.
- Poisson_process sameAs Processus_de_Poisson.
- Poisson_process sameAs Processo_di_Poisson.
- Poisson_process sameAs Proces_Poissona.
- Poisson_process sameAs m.0pz2d.
- Poisson_process sameAs Q1145117.
- Poisson_process sameAs Q1145117.
- Poisson_process sameAs Poisson_process.
- Poisson_process wasDerivedFrom Poisson_process?oldid=604010725.
- Poisson_process isPrimaryTopicOf Poisson_process.