Multivariate models for correlated count data

DOI10.1080/02664763.2013.789098OpenAlexW2112912314MaRDI QIDQ5129055

Márcio S. Araújo, Eduardo G. Martins, Mariana Rodrigues-Motta, Sérgio F. dos Reis, Hildete P. Pinheiro

Publication date: 26 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2013.789098

zbMATH Keywords

Poisson distributionoverdispersionmaximum likelihoodnegative binomial distributionmixture distributionmixed modelzero-inflated datamultivariate count data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (3)

Modelling the covariance structure in marginal multivariate count models: hunting in Bioko Island ⋮ Generalized linear latent variable models for multivariate count and biomass data in ecology ⋮ Zero-Inflated Spatial Models: Application and Interpretation

Uses Software

• SAS
• SAS/STAT

Cites Work

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• Robust estimation of mixture complexity for count data
• A bivariate zero-inflated negative binomial regression model for count data with excess zeros
• Generalized bivariate count data regression models
• Testing overdispersion in the zero-inflated Poisson model
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Zero-inflated proportion data models applied to a biological control assay

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