R2measures for zero-inflated regression models for count data with excess zeros

DOI10.1080/00949655.2016.1186166OpenAlexW2399900333MaRDI QIDQ5221567

Jacob G. Martin, Daniel B. Hall

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/10.1080/00949655.2016.1186166

zbMATH Keywords

overdispersionPoisson regressiondeviancenegative binomial regressionzero inflationadjusted \(R^2\)

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Pseudo \(R\)-squared measures for Poisson regression models with over- or underdispersion
• The Kullback information criterion for mixture regression models
• An \(R\)-squared measure of goodness of fit for some common nonlinear regression models
• Adjustments for \(R^{2}\)-measures for Poisson regression models.
• Marginal models for zero inflated clustered data
• A note on a general definition of the coefficient of determination
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Zero‐Inflated Poisson and Binomial Regression with Random Effects: A Case Study
• Coefficients of Determination in Logistic Regression Models—A New Proposal: The Coefficient of Discrimination
• Random effect models for repeated measures of zero-inflated count data
• On Information and Sufficiency

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