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Ordering and selecting extreme populations by means of entropies and divergences

dc.contributor.authorMenéndez Calleja, María Luisa
dc.contributor.authorPardo Llorente, Leandro
dc.contributor.authorZografos, Konstantinos
dc.date.accessioned2023-06-20T00:20:41Z
dc.date.available2023-06-20T00:20:41Z
dc.date.issued2009-10-15
dc.description.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.
dc.description.departmentDepto. de Estadística e Investigación Operativa
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/17375
dc.identifier.doi10.1016/j.cam.2009.06.013
dc.identifier.issn0377-0427
dc.identifier.officialurlhttp://www.sciencedirect.com/science/article/pii/S0377042709003616
dc.identifier.relatedurlhttp://www.sciencedirect.com/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/42429
dc.issue.number2
dc.journal.titleJournal of Computational and Applied Mathematics
dc.language.isoeng
dc.page.final350
dc.page.initial335
dc.publisherElsevier Science Bv
dc.rights.accessRightsrestricted access
dc.subject.cdu519.23
dc.subject.keywordDivergence
dc.subject.keywordEntropy
dc.subject.keywordOrdering populations
dc.subject.keywordSelection of populations
dc.subject.keywordSubset selection approach
dc.subject.keywordExtreme populations
dc.subject.ucmEstadística matemática (Matemáticas)
dc.subject.unesco1209 Estadística
dc.titleOrdering and selecting extreme populations by means of entropies and divergences
dc.typejournal article
dc.volume.number232
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