Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/12729
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBatsidis, A.en
dc.date.accessioned2015-11-24T17:23:18Z-
dc.date.available2015-11-24T17:23:18Z-
dc.identifier.issn0932-5026-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/12729-
dc.rightsDefault Licence-
dc.subjecttruncated ten
dc.subjecterrors of misclassificationen
dc.subjectlinear discriminant functionen
dc.subjectdistribution of errorsen
dc.subjectnon-normalityen
dc.subjectdistributionsen
dc.subjectrobustnessen
dc.subjectparametersen
dc.titleErrors of misclassification in discrimination with data from truncated t populationsen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDOI 10.1007/s00362-010-0335-4-
heal.identifier.secondary<Go to ISI>://000303384300005-
heal.identifier.secondaryhttp://www.springerlink.com/content/ju075170v471v010/fulltext.pdf-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.publicationDate2012-
heal.abstractThe distribution of the probabilities of misclassification is derived in this paper, which are reproduced by the use of the linear discriminant function. The statistical background is two independent doubly truncated t populations with distinct location parameters and common scale parameter and degrees of freedom. The behavior of the linear discriminant function is studied by comparing the distribution function of the errors of misclassification under the truncated t and truncated normal models.en
heal.publisherSpringer Verlag (Germany)en
heal.journalNameStatistical Papersen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΜΑΘ

Files in This Item:
File Description SizeFormat 
Batsidis-2012-Errors of misclassif.pdf215.26 kBAdobe PDFView/Open    Request a copy


This item is licensed under a Creative Commons License Creative Commons