Analysis of count data with covariate dependence in both mean and variance

DOI10.1080/02664763.2011.567250OpenAlexW1978860722MaRDI QIDQ5124950

David M. Smith, Malcolm J. Faddy

Publication date: 30 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2011.567250

zbMATH Keywords

Poisson distributionmaximum likelihoodnegative binomial distributioncovariatesbinomial distributionover-dispersionunder-dispersion

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

An empirical approach to determine a threshold for assessing overdispersion in Poisson and negative binomial models for count data ⋮ A hyper-Poisson regression model for overdispersed and underdispersed count data ⋮ Unnamed Item ⋮ Fully PCA-based approach to optimization of multiresponse-multistage problems with stochastic considerations

Uses Software

• Matlab
• R
• Matrix
• SAS
• GWRM
• COUNT

Cites Work

• Unnamed Item
• A framework for modelling overdispersed count data, including the Poisson-shifted generalized inverse Gaussian distribution
• A generalized Waring regression model for count data
• Negative Binomial Regression
• Extended Poisson Process Modelling of Dilution Series Data
• On two families of transformations to additivity for binary response data
• Transform-Both-Sides Approach for Overdispersed Binomial Data When N is Unobserved
• Extended Poisson Process Modelling and Analysis of Count Data
• On conditional intensities and on interparticle correlation in non-linear death processes

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