Regression analysis of zero-inflated time-series counts: application to air pollution related emergency room visit data

DOI10.1080/02664763.2011.595778OpenAlexW1970624252MaRDI QIDQ5126959

Renjun Ma, M. Tariqul Hasan, Gary Sneddon

Publication date: 21 October 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2011.595778

zbMATH Keywords

air pollutionquasi-likelihoodcompound Poisson distributionPoisson mixed modelsexcessive zerostime-series count responses

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

Zero-inflated count time series models using Gaussian copula ⋮ Modelling and coherent forecasting of zero-inflated count time series ⋮ A state-space model for bivariate time-series counts with excessive zeros: an application to workplace injury data ⋮ Copula-based Markov zero-inflated count time series models with application

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• Testing for zero-inflation in count series: application to occupational health
• Pattern‐Mixture Zero‐Inflated Mixed Models for Longitudinal Unbalanced Count Data with Excessive Zeros

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