Poisson statistics

GPTKB entity

Statements (34)
Predicate Object
gptkbp:instanceOf statistical analysis
gptkbp:appliesTo discrete data
count data
gptkbp:assumes independent events
constant average rate
gptkbp:basedOn gptkb:Poisson_distribution
gptkbp:describes random events
rare events
events in fixed intervals
gptkbp:firstDescribed 1837
https://www.w3.org/2000/01/rdf-schema#label Poisson statistics
gptkbp:lambdaRepresents mean number of events per interval
gptkbp:namedAfter gptkb:Siméon_Denis_Poisson
gptkbp:parameter lambda
gptkbp:probabilityMassFunction P(k;λ) = (λ^k * e^(-λ)) / k!
gptkbp:relatedTo gptkb:binomial_distribution
gptkb:exponential_distribution
gptkbp:usedFor modeling insurance claims
modeling radioactive decay
modeling accident rates
modeling call arrivals
modeling email arrivals
modeling mutation counts
modeling photon counts
modeling web hits
gptkbp:usedIn biology
finance
physics
queueing theory
telecommunications
traffic engineering
gptkbp:varianceEquals mean
gptkbp:bfsParent gptkb:Wigner-Dyson_statistics
gptkbp:bfsLayer 7