A Novel Goodness-of-Fit Test for Cauchy Distribution

Basit Öğe Kaydı
dc.contributor.authorPekgor, A.
dc.date.accessioned2024-02-23T14:26:38Z
dc.date.available2024-02-23T14:26:38Z
dc.date.issued2023
dc.departmentNEÜen_US
dc.description.abstractRecently, several goodness-of-fit tests for Cauchy distribution have been introduced based on Kullback-Leibler divergence and likelihood ratio. It is claimed that these tests are more powerful than the well-known goodness-of-fit tests such as Kolmogorov-Smirnov, Anderson-Darling, and Cramer-von Mises under some cases. In this study, a novel goodness-of-fit test is proposed for the Cauchy distribution and the asymptotic null distribution of the test statistic is derived. The critical values of the proposed test are also determined through a Monte Carlo simulation for different sample sizes. The power analysis shows that the proposed test is more powerful than the current tests under certain cases.en_US
dc.identifier.doi10.1155/2023/9200213
dc.identifier.issn2314-4629
dc.identifier.issn2314-4785
dc.identifier.scopus2-s2.0-85151532687en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.urihttps://doi.org/10.1155/2023/9200213
dc.identifier.urihttps://hdl.handle.net/20.500.12452/14260
dc.identifier.volume2023en_US
dc.identifier.wosWOS:000956562500003en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherHindawi Ltden_US
dc.relation.ispartofJournal Of Mathematicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subject[Keyword Not Available]en_US
dc.titleA Novel Goodness-of-Fit Test for Cauchy Distributionen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu