A regression model for overdispersed data without too many zeros

DOI10.1007/s00362-015-0724-9zbMath1416.62381OpenAlexW2100883235MaRDI QIDQ1685216

José Rodríguez-Avi, María José Olmo-Jiménez

Publication date: 13 December 2017

Published in: Statistical Papers (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00362-015-0724-9

zbMATH Keywords

overdispersionCBP distributionregression models for count data

Mathematics Subject Classification ID

General nonlinear regression (62J02) Applications of statistics (62P99) Characterization and structure theory of statistical distributions (62E10)

Related Items (2)

On zero-inflated permutation testing and some related problems ⋮ A review of the CTP distribution: a comparison with other over- and underdispersed count data models

Uses Software

• R
• MASS (R)
• GWRM
• COUNT

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