General mixed Poisson regression models with varying dispersion

DOI10.1007/s11222-015-9601-6zbMath1505.62050OpenAlexW1624588825MaRDI QIDQ128997

Wagner Barreto-Souza, Alexandre B. Simas, Alexandre B. Simas, Wagner Barreto-Souza

Publication date: 16 September 2015

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11222-015-9601-6

zbMATH Keywords

regression analysisEM algorithmoverdispersionexponential familydiagnostic measures

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Point estimation (62F10) Generalized linear models (logistic models) (62J12) Diagnostics, and linear inference and regression (62J20)

Related Items (9)

The multivariate mixed negative binomial regression model with an application to insurance a posteriori ratemaking ⋮ A new mixed‐effects regression model for the analysis of zero‐modified hierarchical count data ⋮ Improving estimation for beta regression models via EM-algorithm and related diagnostic tools ⋮ Bivariate Mixed Poisson Regression Models with Varying Dispersion ⋮ AN EM ALGORITHM FOR FITTING A NEW CLASS OF MIXED EXPONENTIAL REGRESSION MODELS WITH VARYING DISPERSION ⋮ Flexible regression models for counts with high-inflation of zeros ⋮ mixpoissonreg ⋮ Convergence and inference for mixed Poisson random sums ⋮ Flexible and Robust Mixed Poisson INGARCH Models

Uses Software

• R
• GAMLSS
• dglm

Cites Work

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