Approximating the Conway–Maxwell–Poisson distribution normalization constant

DOI10.1080/02331888.2014.896919zbMath1328.62083OpenAlexW2041384569MaRDI QIDQ3462139

Christopher G. Green, Steven B. Gillispie

Publication date: 4 January 2016

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888.2014.896919

zbMATH Keywords

approximationoverdispersionunderdispersionConway-Maxwell-Poisson distributionnormalization constant

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Probability distributions: general theory (60E05) Queueing theory (aspects of probability theory) (60K25)

Related Items (11)

Integral form of the COM-Poisson renormalization constant ⋮ Some characterizations and properties of COM-Poisson random variables ⋮ Efficient estimation of COM-Poisson regression and a generalized additive model ⋮ Integral form of Le Roy-type hypergeometric function ⋮ Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway–Maxwell–Poisson distribution ⋮ Uncertainty estimation in heterogeneous capture–recapture count data ⋮ A copula-based multivariate hidden Markov model for modelling momentum in football ⋮ A flexible bivariate distribution for count data expressing data dispersion ⋮ A Flexible Univariate Autoregressive Time‐Series Model for Dispersed Count Data ⋮ An asymptotic expansion for the normalizing constant of the Conway-Maxwell-Poisson distribution ⋮ Bivariate Conway-Maxwell-Poisson distribution: formulation, properties, and inference

Cites Work

• A Useful Distribution for Fitting Discrete Data: Revival of the Conway–Maxwell–Poisson Distribution
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