Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/1854
DC FieldValueLanguage
dc.contributor.authorEbner, B.en_US
dc.contributor.authorCuparić, Marijaen_US
dc.contributor.authorMilošević, Bojanaen_US
dc.date.accessioned2025-03-31T17:42:29Z-
dc.date.available2025-03-31T17:42:29Z-
dc.date.issued2023-
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/1854-
dc.description.abstractCircular data is prevalent in various fields of applied research, making the problem of testing independence within these data structures highly significant. In this regard, test statistics are examined based on energy distance and delve into their properties within this context. Generalizations of the test statistics are also explored, drawing key conclusions and recommendations.en_US
dc.language.isoenen_US
dc.titleTesting independence for circular data: Energy-based approachen_US
dc.typeConference Objecten_US
dc.relation.conferenceCMStatistics(16 ; 2023 ; Berlin)en_US
dc.relation.publication16th International Conference of the ERICM WG on Computational and Methodological Statistics (CMStatistics 2023)en_US
dc.identifier.urlhttps://www.cmstatistics.org/CMStatistics2023/docs/BoA.pdf?20231128014621-
dc.contributor.affiliationProbability and Mathematical Statisticsen_US
dc.contributor.affiliationProbability and Mathematical Statisticsen_US
dc.relation.isbn978-9925-7812-7-0en_US
dc.description.rankM32en_US
dc.relation.firstpage43en_US
dc.relation.lastpage43en_US
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeConference Object-
item.fulltextNo Fulltext-
item.languageiso639-1en-
crisitem.author.deptProbability and Statistics-
crisitem.author.deptProbability and Statistics-
crisitem.author.orcid0000-0001-5071-8350-
crisitem.author.orcid0000-0001-8243-9794-
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