A hyper-Poisson regression model for overdispersed and underdispersed count data
type: Item
instance of: scholarly article
published in: Computational Statistics and Data Analysis
volume: 61
page(s): 148-157
publication date: 2013-05-01T00:00:00Z
publication date: 2016-10-31T00:00:00Z
author: Antonio José Sáez-Castillo
author: Antonio Conde-Sánchez
title: A hyper-Poisson regression model for overdispersed and underdispersed count data
zbMATH Open document ID: 1348.62188
Mathematics Subject Classification ID: 62J02
zbMATH DE Number: 6645660
zbMATH Keywords: regression model
zbMATH Keywords: count data
zbMATH Keywords: hyper-Poisson
zbMATH Keywords: overdispersion
zbMATH Keywords: underdispersion
describes a project that uses: Ecdat
describes a project that uses: R
describes a project that uses: MASS (R)
describes a project that uses: GWRM
describes a project that uses: COMPoissonReg
MaRDI profile type: Publication
full work available at URL: j.csda.2012.12.009
OpenAlex ID: W1973324677
cites work: Two graphical displays for outlying and influential observations in regression
cites work: A Two-Parameter Family of Hyper-Poisson Distributions
cites work: Q4224185
cites work: Generalized poisson regression model
cites work: Double Exponential Families and Their Use in Generalized Linear Regression
cites work: Analysis of count data with covariate dependence in both mean and variance
cites work: On estimation and influence diagnostics for zero-inflated negative binomial regression models
cites work: Q4828422
cites work: Univariate Discrete Distributions
cites work: An empirical model for underdispersed count data
cites work: A generalized Waring regression model for count data
cites work: The COM‐Poisson model for count data: a survey of methods and applications
cites work: A flexible regression model for count data
cites work: A Useful Distribution for Fitting Discrete Data: Revival of the Conway–Maxwell–Poisson Distribution
cites work: Statistical Analysis of Financial Data in S-Plus
cites work: A new approach for modeling economic count data
cites work: A model for integer-valued time series with conditional overdispersion
DOI: 10.1016/J.CSDA.2012.12.009
Recommended article: On Poisson-exponential-Tweedie models for ultra-overdispersed count data
Recommended article: A new model for over-dispersed count data: Poisson quasi-Lindley regression model
Recommended article: Modeling overdispersed or underdispersed count data with generalized Poisson integer-valued autoregressive processes
Recommended article: A simple and useful regression model for underdispersed count data based on Bernoulli-Poisson convolution
Recommended article: Detecting over- and under-dispersion in zero inflated data with the hyper-Poisson regression model
Recommended article: A multivariate Poisson regression model for count data
Recommended article: On Hinde-Demétrio regression models for overdispersed count data
Recommended article: Generalized Poisson Hidden Markov Model for Overdispersed or Underdispersed Count Data
Recommended article: Bayesian Conway–Maxwell–Poisson regression models for overdispersed and underdispersed counts
Recommended article: Flexible models for overdispersed and underdispersed count data
description: scientific article; zbMATH DE number 6645660