Flexible models for non-equidispersed count data: comparative performance of parametric models to deal with underdispersion

DOI10.1007/s10182-021-00432-6OpenAlexW4210808373MaRDI QIDQ2081046

Cristiane Akemi Umetsu, Douglas Toledo, Idemauro Antonio Rodrigues de Lara, Antonio Fernando Monteiro Camargo

Publication date: 12 October 2022

Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10182-021-00432-6

zbMATH Keywords

probability distributionoverdispersionmaximum likelihoodresidual analysisecological dataaquatic macrophyte

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Asymptotic properties of the normalised discrete associated-kernel estimator for probability mass function

Uses Software

• R
• bbmle
• repeated
• COMPoissonReg
• RMUTIL
• glmmTMB

Cites Work

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• Mean-parametrized Conway–Maxwell–Poisson regression models for dispersed counts
• 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

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