COM-Poisson distribution

GPTKB entity

Statements (23)
Predicate Object
gptkbp:instanceOf gptkb:organization
gptkbp:alsoKnownAs gptkb:Conway–Maxwell–Poisson_distribution
gptkbp:application queueing theory
count data modeling
over-dispersed data
under-dispersed data
gptkbp:field gptkb:probability_theory
statistics
gptkbp:generalizes gptkb:Poisson_distribution
https://www.w3.org/2000/01/rdf-schema#label COM-Poisson distribution
gptkbp:introducedIn 1962
gptkbp:namedAfter gptkb:Conway
gptkb:Maxwell
gptkbp:normalizationConstant Z(lambda, nu) = sum_{j=0}^∞ (lambda^j)/(j!)^nu
gptkbp:parameter lambda
nu
gptkbp:probabilityMassFunction P(X=k) = (lambda^k)/(k!)^nu * 1/Z(lambda, nu)
gptkbp:reduces Poisson distribution when nu=1
geometric distribution when nu=0, lambda<1
gptkbp:supports non-negative integers
gptkbp:type discrete probability distribution
gptkbp:bfsParent gptkb:Conway–Maxwell–Poisson_distribution
gptkbp:bfsLayer 6