Underdispersion models: Models that are “under the radar”

DOI10.1080/03610926.2017.1291976zbMath1462.62158OpenAlexW2588906000MaRDI QIDQ4606452

Darcy Steeg Morris, Kimberly F. Sellers

Publication date: 7 March 2018

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2017.1291976

zbMATH Keywords

count dataPoissongeneralized Poissondouble PoissonConway-Maxwell-Poissoncondensed Poissongamma count

Mathematics Subject Classification ID

Point estimation (62F10) Generalized linear models (logistic models) (62J12) Stochastic processes (60G99) Statistical distribution theory (62E99)

Related Items (9)

Extended Poisson INAR(1) processes with equidispersion, underdispersion and overdispersion ⋮ Modeling price clustering in high-frequency prices ⋮ A simple and useful regression model for underdispersed count data based on Bernoulli-Poisson convolution ⋮ Bayesian Conway–Maxwell–Poisson regression models for overdispersed and underdispersed counts ⋮ A generalized stochastic condensation mechanism for inducing underdispersion in count models ⋮ On Arbitrarily Underdispersed Discrete Distributions ⋮ Some mechanisms leading to underdispersion: Old and new proposals ⋮ Unnamed Item ⋮ Flexible models for non-equidispersed count data: comparative performance of parametric models to deal with underdispersion

Uses Software

• PROC NLMIXED
• numDeriv
• repeated
• RMUTIL

Cites Work

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