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Journal of Applied Statistics Volume 39, 2012 - Issue 3
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Original Articles

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

M. Tariqul Hasan Department of Mathematics and Statistics, University of New Brunswick, Fredericton, NB, E3B 5A3, CanadaCorrespondence[email protected]
,
Gary Sneddon Department of Mathematics and Computer Sciences, Mount Saint Vincent University, Halifax, NS, B3M 2J6, Canada
&
Renjun Ma Department of Mathematics and Statistics, University of New Brunswick, Fredericton, NB, E3B 5A3, Canada
Pages 467-476 | Received 20 Dec 2010, Accepted 03 Jun 2011, Published online: 12 Jul 2011

Citations (9)

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Read on this site (2)

Mohammed Alqawba & Norou Diawara. (2021) Copula-based Markov zero-inflated count time series models with application. Journal of Applied Statistics 48:5, pages 786-803.
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Mohammed Alqawba, Norou Diawara & N. Rao Chaganty. (2019) Zero-inflated count time series models using Gaussian copula. Sequential Analysis 38:3, pages 342-357.
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Articles from other publishers (7)

Bowen Cai, Mohammed Quddus, Xuesong Wang & Yu Miao. (2023) New Modeling Approach for Predicting Disaggregated Time-Series Traffic Crashes. Transportation Research Record: Journal of the Transportation Research Board.
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M. Tariqul Hasan, Gary Sneddon & Renjun Ma. (2021) A State-Space Model for Bivariate Time-Series Counts with Excessive Zeros: An Application to Workplace Injury Data. Bulletin of the Malaysian Mathematical Sciences Society 45:S1, pages 7-19.
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Kassim Tawiah, Wahab Abdul Iddrisu & Killian Asampana Asosega. (2021) Zero-Inflated Time Series Modelling of COVID-19 Deaths in Ghana. Journal of Environmental and Public Health 2021, pages 1-9.
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Li-Hsien Sun, Xin-Wei Huang, Mohammed S. Alqawba, Jong-Min Kim & Takeshi EmuraLi-Hsien Sun, Xin-Wei Huang, Mohammed S. Alqawba, Jong-Min Kim & Takeshi Emura. 2020. Copula-Based Markov Models for Time Series. Copula-Based Markov Models for Time Series 101 127 .
M. Tariqul Hasan, Gary Sneddon & Renjun Ma. (2017) Modeling binomial amphibian roadkill data in distance sampling while accounting for zero-inflation, serial correlation and varying cluster sizes simultaneously. Environmental and Ecological Statistics 24:2, pages 201-217.
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Raju Maiti, Atanu Biswas, Apratim Guha & Seng Huat Ong. (2014) Modelling and coherent forecasting of zero-inflated count time series. Statistical Modelling 14:5, pages 375-398.
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Gary Sneddon, Wasimul Bari & M. Tariqul Hasan. (2013) Observation-Driven Model for Zero-Inflated Daily Counts of Emergency Room Visit Data. International Journal of Statistics in Medical Research 2:3, pages 220-228.
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