A new zero-inflated discrete Lindley regression model

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dc.contributor.authorTanis, Caner
dc.contributor.authorKoc, Haydar
dc.contributor.authorPekgor, Ahmet
dc.date.accessioned2024-02-23T14:20:14Z
dc.date.available2024-02-23T14:20:14Z
dc.date.issued2023
dc.departmentNEÜen_US
dc.description.abstractRecently, providing a new count regression model is very popular for many researchers. These count regression models are constructed by using a new discrete distribution or one of the existing distributions in the literature. In this paper, we consider a new zero-inflated regression model as an alternative to the zero-inflated regression models. We present two real data applications to illustrate the usefulness of the suggested regression model in modeling data, and compare the competitor models such as Poisson, discrete Lindley, and zero-inflated regression models. We provide a new count regression model which is useful in modeling overdispersed data.en_US
dc.identifier.doi10.1080/03610926.2023.2177108
dc.identifier.issn0361-0926
dc.identifier.issn1532-415X
dc.identifier.scopus2-s2.0-85149039832en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.urihttps://doi.org/10.1080/03610926.2023.2177108
dc.identifier.urihttps://hdl.handle.net/20.500.12452/13075
dc.identifier.wosWOS:000941942000001en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Incen_US
dc.relation.ispartofCommunications In Statistics-Theory And Methodsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCount Regressionen_US
dc.subjectZero-Inflated Dataen_US
dc.subjectDiscrete Lindley Distributionen_US
dc.subjectOver-Dispersionen_US
dc.titleA new zero-inflated discrete Lindley regression modelen_US
dc.typeArticleen_US

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