1. Research with MATF
  2. MATF
  3. Research outputs
Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/154
DC FieldValueLanguage
dc.contributor.authorAmini-Seresht, Ebrahimen_US
dc.contributor.authorMilošević, Bojanaen_US
dc.date.accessioned2022-08-06T16:46:14Z-
dc.date.available2022-08-06T16:46:14Z-
dc.date.issued2020-05-02-
dc.identifier.issn00949655en
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/154-
dc.description.abstractIn this paper, we consider the problem of testing independence against stochastically increasing property. For the construction of new statistical tests, we employ Nadaraya–Watson regression estimator. We examine their asymptotic properties under the null and an alternative hypothesis. The performance of the tests is studied via power study. For this purpose, the bootstrap versions of proposed tests are utilized. The finite sample results indicate their competitiveness compared to existing statistical methods.en_US
dc.language.isoenen_US
dc.publisherTaylor and Francisen_US
dc.relation.ispartofJournal of Statistical Computation and Simulationen_US
dc.subjectempirical processesen_US
dc.subjectindependenceen_US
dc.subjectkernel estimationen_US
dc.subjectregression dependenceen_US
dc.subjectstochastic orderen_US
dc.subjectStochastically increasingen_US
dc.titleNew non-parametric tests for independenceen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/00949655.2020.1725007-
dc.identifier.scopus2-s2.0-85083904995-
dc.identifier.isi000518563300001-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85083904995-
dc.contributor.affiliationProbability and Mathematical Statisticsen_US
dc.relation.issn0094-9655en_US
dc.description.rankM22en_US
dc.relation.firstpage1301en_US
dc.relation.lastpage1314en_US
dc.relation.volume90en_US
dc.relation.issue7en_US
item.openairetypeArticle-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.grantfulltextnone-
crisitem.author.deptProbability and Mathematical Statistics-
crisitem.author.orcid0000-0001-8243-9794-
Appears in Collections:Research outputs
Show simple item record

SCOPUSTM   
Citations

4
checked on Mar 28, 2025

Page view(s)

17
checked on Jan 19, 2025

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.