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dc.contributor.authorMenendez, M. L.en
dc.contributor.authorPardo, L.en
dc.contributor.authorZografos, K.en
dc.date.accessioned2015-11-24T17:27:08Z-
dc.date.available2015-11-24T17:27:08Z-
dc.identifier.issn0377-0427-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/13316-
dc.rightsDefault Licence-
dc.subjectdivergenceen
dc.subjectentropyen
dc.subjectordering populationsen
dc.subjectselection of populationsen
dc.subjectsubset selection approachen
dc.subjectextreme populationsen
dc.subjectinformationen
dc.titleOrdering and selecting extreme populations by means of entropies and divergencesen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.identifier.primaryDOI 10.1016/j.cam.2009.06.013-
heal.identifier.secondary<Go to ISI>://000270150200017-
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μαθηματικώνel
heal.publicationDate2009-
heal.abstractThis paper studies the simultaneous selection of extreme populations from a set of independent populations. Two types of subset selection rules for k populations are proposed and studied. The first type selects one subset of populations that should contain the population with the smallest, and another subset of populations that should contain the population with the largest, p-entropy. The second type selects analogously, but in terms of the extreme phi-divergences with respect a known control population. Properties of the proposed procedures are stated and studied. Examples are presented in order to illustrate the results. (C) 2009 Elsevier B.V. All rights reserved.en
heal.publisherElsevieren
heal.journalNameJournal of Computational and Applied Mathematicsen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά). ΜΑΘ

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