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/123456789/1290
DC FieldValueLanguage
dc.contributor.authorMilošević, Bojanaen_US
dc.contributor.authorNikitin, Ya Yuen_US
dc.contributor.authorObradović, Markoen_US
dc.date.accessioned2024-06-03T16:05:24Z-
dc.date.available2024-06-03T16:05:24Z-
dc.date.issued2023-07-01-
dc.identifier.issn10723374-
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/1290-
dc.descriptionThis version of the article has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: <a href="https://link.springer.com/article/10.1007/s10958-023-06542-7">https://link.springer.com/article/10.1007/s10958-023-06542-7</a>en_US
dc.description.abstractIn the present paper, some well-known tests based on empirical distribution functions (EDF) with estimated parameters for testing composite normality hypothesis are revisited, and some new results on asymptotic properties are provided. In particular, the approximate Bahadur slopes are obtained in the case of close alternatives for the EDF-based tests as well as the likelihood ratio test. The local approximate efficiencies are calculated for several close alternatives. The obtained results could serve as a benchmark for evaluation of the quality of recent and future normality tests.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofJournal of Mathematical Sciencesen_US
dc.titleBahadur Efficiency of EDF Based Normality Tests when Parameters are Estimateden_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s10958-023-06542-7-
dc.identifier.scopus2-s2.0-85163771662-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85163771662-
dc.contributor.affiliationProbability and Mathematical Statisticsen_US
dc.contributor.affiliationProbability and Mathematical Statisticsen_US
dc.relation.issn1072-3374en_US
dc.relation.firstpage793en_US
dc.relation.lastpage803en_US
dc.relation.volume273en_US
dc.relation.issue5en_US
item.openairetypeArticle-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.grantfulltextrestricted-
crisitem.author.deptProbability and Mathematical Statistics-
crisitem.author.deptProbability and Mathematical Statistics-
crisitem.author.orcid0000-0001-8243-9794-
crisitem.author.orcid0000-0002-6826-3232-
Appears in Collections:Research outputs
Files in This Item:
File Description SizeFormat Existing users please
2106.07437v1.pdf165.2 kBAdobe PDF
    Request a copy
Show simple item record

Page view(s)

25
checked on Jan 19, 2025

Download(s)

1
checked on Jan 19, 2025

Google ScholarTM

Check

Altmetric

Altmetric


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