A framework for modelling overdispersed count data, including the Poisson-shifted generalized inverse Gaussian distribution

DOI10.1016/j.csda.2008.07.043zbMath1231.62019OpenAlexW2027206915WikidataQ112827279 ScholiaQ112827279MaRDI QIDQ961120

B. E. Eshmatov

Publication date: 30 March 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.07.043

Mathematics Subject Classification ID

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Uses Software

• R
• GAMLSS

Cites Work

• Statistical properties of the generalized inverse Gaussian distribution
• Robust estimation in heteroscedastic linear models
• Estimating the dimension of a model
• Double Exponential Families and Their Use in Generalized Linear Regression
• An extended quasi-likelihood function
• Analysis of Overdispersed Count Data by Mixtures of Poisson Variables and Poisson Processes
• A General Maximum Likelihood Analysis of Variance Components in Generalized Linear Models
• A mixed poisson–inverse‐gaussian regression model
• Univariate Discrete Distributions
• Generalized Additive Models for Location, Scale and Shape
• Double Hierarchical Generalized Linear Models (With Discussion)
• A new look at the statistical model identification
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