New zero-inflated regression models with a variant of censoring

dc.contributor.authorAltinisik, Yasin
dc.contributor.authorCankaya, Emel
dc.date.accessioned2025-03-23T19:30:38Z
dc.date.available2025-03-23T19:30:38Z
dc.date.issued2022
dc.departmentSinop Üniversitesi
dc.description.abstractThere is ever growing demand of modeling overdispersed count data generated by various disiplines. Excessive number of zeros and hetero-geneity in the population are two main sources of the overdispersion problem. Development of new count models that are more flexible than conventional Poisson model is thus necessary in order to address such sources. This study fullfils this need by proposing a new heterogeneous Poisson model with a cap-ture of excess zeros, namely zero-inflated Poisson-Ailamujia (ZIPA) model. In line with the aim of curing overdispersion, a censored variant of this newly suggested model is also here developed. An extensive simulation study is conducted to assess the performances of both forms of new models in terms of bias, precision and accuracy measures. Additionally, two real world ap-plications are presented to illustrate practical implications of zero-inflated (censored) Poisson-Ailamujia models in comparison to some alternatives.
dc.identifier.doi10.1214/22-BJPS544
dc.identifier.endpage674
dc.identifier.issn0103-0752
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85144905390
dc.identifier.scopusqualityQ3
dc.identifier.startpage641
dc.identifier.urihttps://doi.org/10.1214/22-BJPS544
dc.identifier.urihttps://hdl.handle.net/11486/5129
dc.identifier.volume36
dc.identifier.wosWOS:000906578500001
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherBrazilian Statistical Association
dc.relation.ispartofBrazilian Journal of Probability and Statistics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250323
dc.subjectLifetime datasets
dc.subjectzero-inflation
dc.subjectcount regression
dc.subjectcompound Poisson
dc.subjectoverdispersion
dc.subjectcensoring
dc.subjectPoisson-Ailamujia model
dc.titleNew zero-inflated regression models with a variant of censoring
dc.typeArticle

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