Accounting for Zero Inflation of Mussel Parasite Counts Using Discrete Regression Models

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dc.contributor.authorCankaya, Emel
dc.contributor.authorAlpay, Olcay
dc.contributor.authorOzer, Ahmet
dc.date.accessioned2025-03-23T19:12:13Z
dc.date.available2025-03-23T19:12:13Z
dc.date.issued2017
dc.departmentSinop Üniversitesi
dc.description.abstractIn many ecological applications, the absences of species are inevitable due to either detection faults in samples oruninhabitable conditions for their existence, resulting in high number of zero counts or abundance. Usual practice formodelling such data is regression modelling of log(abundance+1) and it is well know that resulting model isinadequate for prediction purposes. New discrete models accounting for zero abundances, namely zero-inflatedregression (ZIP and ZINB), Hurdle-Poisson (HP) and Hurdle-Negative Binomial (HNB) amongst others are widelypreferred to the classical regression models. Due to the fact that mussels are one of the economically most importantaquatic products of Turkey, the purpose of this study is therefore to examine the performances of these four modelsin determination of the significant biotic and abiotic factors on the occurrences of Nematopsis legeri parasiteharming the existence of Mediterranean mussels (Mytilus galloprovincialis L.). The data collected from the threecoastal regions of Sinop city in Turkey showed more than 50% of parasite counts on the average are zero-valued andmodel comparisons were based on information criterion. The results showed that the probability of the occurrence ofthis parasite is here best formulated by ZINB or HNB models and influential factors of models were found to becorrespondent with ecological differences of the regions.
dc.identifier.doi10.16984/saufenbilder.298981
dc.identifier.endpage384
dc.identifier.issn1301-4048
dc.identifier.issn2147-835X
dc.identifier.issue3
dc.identifier.startpage378
dc.identifier.trdizinid292832
dc.identifier.urihttps://doi.org/10.16984/saufenbilder.298981
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/292832
dc.identifier.urihttps://hdl.handle.net/11486/3763
dc.identifier.volume21
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofSakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_TR_20250323
dc.subjectBiyoloji
dc.subjectÇevre Bilimleri
dc.subjectİstatistik ve Olasılık
dc.titleAccounting for Zero Inflation of Mussel Parasite Counts Using Discrete Regression Models
dc.typeArticle

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