Model selection criteria for dual-inflated data

DOI10.1080/00949655.2015.1118102OpenAlexW2236397260MaRDI QIDQ5222507

Min-Hsiao Tsai, Ting Hsiang Lin

Publication date: 1 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2015.1118102

zbMATH Keywords

model selectioninformation criteriainflated data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Modeling data with a truncated and inflated Poisson distribution ⋮ Solving unobserved heterogeneity with latent class inflated Poisson regression model

Cites Work

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• Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
• Estimating the dimension of a model
• Selection of smoothing parameters in \(B\)-spline nonparametric regression models using information criteria
• Information criteria and statistical modeling.
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Some ridge regression estimators for the zero-inflated Poisson model
• Model selection information criteria in latent class models with missing data and contingency question

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