Mean-parametrized Conway–Maxwell–Poisson regression models for dispersed counts
From MaRDI portal
Publication:5142181
DOI10.1177/1471082X17697749OpenAlexW2962859847MaRDI QIDQ5142181
Publication date: 30 December 2020
Published in: Statistical Modelling (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1606.03214
Related Items
Consistent second-order discrete kernel smoothing using dispersed Conway-Maxwell-Poisson kernels ⋮ A simple and useful regression model for underdispersed count data based on Bernoulli-Poisson convolution ⋮ A Tree-Based Semi-Varying Coefficient Model for the COM-Poisson Distribution ⋮ Bayesian Conway–Maxwell–Poisson regression models for overdispersed and underdispersed counts ⋮ A generalized stochastic condensation mechanism for inducing underdispersion in count models ⋮ A modified one parameter Liu estimator for Conway-Maxwell Poisson response model ⋮ Multivariate generalized linear mixed models for underdispersed count data ⋮ A semiparametric joint model for cluster size and subunit‐specific interval‐censored outcomes ⋮ On goodness‐of‐fit measures for Poisson regression models ⋮ New zero-inflated regression models with a variant of censoring ⋮ On Arbitrarily Underdispersed Discrete Distributions ⋮ A flexible approach to modelling over‐, under‐ and equidispersed count data in <scp>IRT</scp>: The Two‐Parameter Conway–Maxwell–Poisson Model ⋮ Uniformly most powerful unbiased tests for the dispersion parameter of the Conway-Maxwell-Poisson distribution ⋮ Asymptotic properties of the normalised discrete associated-kernel estimator for probability mass function ⋮ A fast look-up method for Bayesian mean-parameterised Conway-Maxwell-Poisson regression models ⋮ Conway–Maxwell–Poisson Autoregressive Moving Average Model for Equidispersed, Underdispersed, and Overdispersed Count Data ⋮ Sklar's Omega: A Gaussian Copula-Based Framework for Assessing Agreement ⋮ Conway–Maxwell–Poisson seasonal autoregressive moving average model ⋮ Flexible models for non-equidispersed count data: comparative performance of parametric models to deal with underdispersion ⋮ A Time-Series Model for Underdispersed or Overdispersed Counts
Uses Software
Cites Work
- Unnamed Item
- A hyper-Poisson regression model for overdispersed and underdispersed count data
- A flexible regression model for count data
- Generalized poisson regression model
- Consistency and asymptotic normality of the maximum likelihood estimator in generalized linear models
- An empirical model for underdispersed count data
- Restricted generalized poisson regression model
- Orthogonality of the mean and error distribution in generalized linear models
- The Gamma-count distribution in the analysis of experimental underdispersed data
- The COM‐Poisson model for count data: a survey of methods and applications
- A Useful Distribution for Fitting Discrete Data: Revival of the Conway–Maxwell–Poisson Distribution