A comparison of count data models with an application to daily cigarette consumption of young persons

DOI10.1080/03610926.2017.1402050OpenAlexW2772790895MaRDI QIDQ5075495

Muhammed Fatih Tüzen, Semra Oral Erbas

Publication date: 16 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2017.1402050

zbMATH Keywords

count dataPoisson regressionzero-inflatednegative binomial regressioncigarette consumption

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

A simulation study for count data models under varying degrees of outliers and zeros ⋮ A new trivariate model for stochastic episodes

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• Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
• Negative Binomial Regression
• Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
• Random effect models for repeated measures of zero-inflated count data
• Visualizing Count Data Regressions Using Rootograms

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