Detecting over- and under-dispersion in zero inflated data with the hyper-Poisson regression model
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Publication:513680
DOI10.1007/s00362-015-0683-1zbMath1394.62100OpenAlexW2007029555MaRDI QIDQ513680
Antonio Conde-Sánchez, Antonio José Sáez-Castillo
Publication date: 7 March 2017
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00362-015-0683-1
Parametric hypothesis testing (62F03) Linear inference, regression (62J99) General nonlinear regression (62J02)
Related Items (4)
Testing for zero inflation and overdispersion in INAR(1) models ⋮ On zero-inflated permutation testing and some related problems ⋮ Estimation and influence diagnostics for zero-inflated hyper-Poisson regression model: full Bayesian analysis ⋮ A review of the CTP distribution: a comparison with other over- and underdispersed count data models
Uses Software
Cites Work
- A hyper-Poisson regression model for overdispersed and underdispersed count data
- Model selection for zero-inflated regression with missing covariates
- Non nested model selection for spatial count regression models with application to health insurance
- A Bayesian analysis of zero-inflated generalized Poisson model
- Multivariate zero-inflated modeling with latent predictors: modeling feedback behavior
- Zero-inflated generalized Poisson regression mixture model for mapping quantitative trait loci underlying count trait with many zeros
- What belongs where? Variable selection for zero-inflated count models with an application to the demand for health care
- Testing overdispersion in the zero-inflated Poisson model
- On modeling claim frequency data in general insurance with extra zeros
- Data Dispersion: Now You See It… Now You Don't
- Negative Binomial Regression
- Bayesian zero-inflated generalized Poisson regression model: estimation and case influence diagnostics
- Score Tests for Zero-Inflation in Overdispersed Count Data
- Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
- Score Test for Zero Inflated Generalized Poisson Regression Model
- Zero-inflated generalized Poisson models with regression effects on the mean, dispersion and zero-inflation level applied to patent outsourcing rates
- Testing for varying zero-inflation and dispersion in generalized Poisson regression models
- Zero-inflated and overdispersed: what's one to do?
- Modeling zero‐inflated count data when exposure varies: With an application to tumor counts
- A Two-Parameter Family of Hyper-Poisson Distributions
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