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Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/1862
DC FieldValueLanguage
dc.contributor.authorAleksić, D.en_US
dc.contributor.authorCuparić, Marijaen_US
dc.contributor.authorMilošević, Bojanaen_US
dc.date.accessioned2025-04-01T09:23:53Z-
dc.date.available2025-04-01T09:23:53Z-
dc.date.issued2024-
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/1862-
dc.description.abstractThe initial focus is on the general results related to the asymptotic properties of non-degenerate U-statistics when the data are missing completely at random. Then, the focus is on the problem of testing independence using the estimator of Kendall's Tau. Specifically, limiting results are provided when employing several commonly used imputation methods. In addition, the results of empirical power studies are summarized, and directions for further research are presented.en_US
dc.language.isoenen_US
dc.publisherCMStatisticsen_US
dc.titleTesting independence in the presence of data missing completely at randomen_US
dc.typeConference Objecten_US
dc.relation.conferenceHiTEc meeting and CoDES workshop(2024 ; Limasol)en_US
dc.relation.publicationHiTEc meeting and the Complex Data in Econometrics and Statistics Workshopen_US
dc.identifier.urlhttps://www.cmstatistics.org/hiteccodes2024/docs/HITECCODES2024_BoA.pdf?20240305222439-
dc.contributor.affiliationProbability and Mathematical Statisticsen_US
dc.contributor.affiliationProbability and Mathematical Statisticsen_US
dc.description.rankM32en_US
dc.relation.firstpage6en_US
dc.relation.lastpage6en_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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