Flexible models for non-equidispersed count data: comparative performance of parametric models to deal with underdispersion
type: Item
instance of: scholarly article
title: Flexible models for non-equidispersed count data: comparative performance of parametric models to deal with underdispersion
author: Douglas Toledo
author: Cristiane Akemi Umetsu
author: Antonio Fernando Monteiro Camargo
author: Idemauro Antonio Rodrigues de Lara
published in: AStA. Advances in Statistical Analysis
publication date: 2022-10-12T00:00:00Z
Mathematics Subject Classification ID: 62-XX
zbMATH DE Number: 7600173
zbMATH Keywords: aquatic macrophyte
zbMATH Keywords: overdispersion
zbMATH Keywords: ecological data
zbMATH Keywords: probability distribution
zbMATH Keywords: residual analysis
zbMATH Keywords: maximum likelihood
describes a project that uses: bbmle
describes a project that uses: glmmTMB
describes a project that uses: COMPoissonReg
describes a project that uses: RMUTIL
describes a project that uses: repeated
describes a project that uses: R
MaRDI profile type: Publication
full work available at URL: s10182-021-00432-6
OpenAlex ID: W4210808373
cites work: Q3704762
cites work: Generalized poisson regression model
cites work: Double Exponential Families and Their Use in Generalized Linear Regression
cites work: Restricted generalized poisson regression model
cites work: Mean-parametrized Conway–Maxwell–Poisson regression models for dispersed counts
cites work: Q3965383
cites work: Discrete dispersion models and their Tweedie asymptotics
cites work: Q3998435
cites work: Comparison of Hierarchical Bayesian Models for Overdispersed Count Data using DIC and Bayes' Factors
cites work: Models for jointly estimating abundances of two unmarked site-associated species subject to imperfect detection
cites work: Reparametrization of COM–Poisson regression models with applications in the analysis of experimental data
cites work: An empirical model for underdispersed count data
cites work: Underdispersion models: Models that are “under the radar”
cites work: A flexible regression model for count data
cites work: The COM‐Poisson model for count data: a survey of methods and applications
cites work: A Useful Distribution for Fitting Discrete Data: Revival of the Conway–Maxwell–Poisson Distribution
cites work: Q4044015
cites work: Q4435422
cites work: Hierarchical Bayesian spatio-temporal Conway-Maxwell Poisson models with dynamic dispersion
cites work: The Gamma-count distribution in the analysis of experimental underdispersed data
cites work: Mixed effects models and extensions in ecology with R
DOI: 10.1007/S10182-021-00432-6
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description: scientific article; zbMATH DE number 7600173