Poisson-Tweedie models for count data with excessive zeros: comparison with the negative binomial model

DOI10.15446/rce.v47n1.101952MaRDI QIDQ6605909

Gabriela S. Boggio, Guillermina B. Harvey

Publication date: 16 September 2024

Published in: Revista Colombiana de Estadística (Search for Journal in Brave)

zbMATH Keywords

count datazero-inflationPoisson-Tweedie models

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• An extended random-effects approach to modeling repeated, overdispersed count data
• Overdispersion: Models and estimation.
• Discrete dispersion models and their Tweedie asymptotics
• Transition models for count data: a flexible alternative to fixed distribution models
• Models for Longitudinal Data: A Generalized Estimating Equation Approach
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Parameter Orthogonality and Bias Adjustment for Estimating Functions
• Extended Poisson–Tweedie: Properties and regression models for count data
• Using simulation studies to evaluate statistical methods
• Multivariate covariance generalized linear models

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