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Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/1817
DC FieldValueLanguage
dc.contributor.authorBucalo Jelić, Danaen_US
dc.contributor.authorMilošević, Bojanaen_US
dc.date.accessioned2025-03-26T15:49:33Z-
dc.date.available2025-03-26T15:49:33Z-
dc.date.issued2024-01-01-
dc.identifier.issn00949655-
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/1817-
dc.description.abstractThis paper proposes several novel classes of independence tests specially designed for count data. The tests are based on the difference between joint and marginal probability generating functions and can be applied to count data of any arbitrary fixed dimension. The limiting properties of the test statistics are explored. The competitiveness of the novel proposal is demonstrated through an extensive empirical study, while the application is illustrated with a few real-data examples.en_US
dc.language.isoenen_US
dc.publisherTaylor and Francisen_US
dc.relation.ispartofJournal of Statistical Computation and Simulationen_US
dc.subjectcopulaen_US
dc.subjectEmpirical probability generating functionen_US
dc.subjectweighted Lp normen_US
dc.titleTesting independence: count data caseen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/00949655.2024.2352557-
dc.identifier.scopus2-s2.0-85193739118-
dc.identifier.isi001228871200001-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85193739118-
dc.contributor.affiliationProbability and Mathematical Statisticsen_US
dc.relation.issn0094-9655en_US
dc.description.rankM22en_US
dc.relation.firstpage2772en_US
dc.relation.lastpage2796en_US
dc.relation.volume94en_US
dc.relation.issue12en_US
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeArticle-
item.fulltextNo Fulltext-
item.languageiso639-1en-
crisitem.author.deptProbability and Statistics-
crisitem.author.orcid0000-0001-8243-9794-
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