Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/15542

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dc.contributor.authorLeiva, Víctor-
dc.contributor.authorAthayde, Emilia-
dc.contributor.authorAzevedo, Cecília Maria-
dc.contributor.authorMarchant, Carolina-
dc.date.accessioned2011-12-20T17:00:14Z-
dc.date.available2011-12-20T17:00:14Z-
dc.date.issued2011-
dc.identifier.issn0266-4763-
dc.identifier.issn1360-0532-
dc.identifier.urihttps://hdl.handle.net/1822/15542-
dc.description.abstractIn this paper, we discuss a Birnbaum–Saunders distribution with an unknown shift parameter and apply it to wind energy modeling.We describe structural aspects of this distribution including properties, moments, mode and hazard and shape analyses.We also discuss estimation, goodness of fit and diagnostic methods for this distribution. A computational implementation in R language of the obtained results is provided. Finally, we apply such results to two unpublished real wind speed data from Chile, which allows us to show the characteristics of this statistical distribution and to model wind energy flux.por
dc.description.sponsorshipFundação para a Ciência e a Tecnologia (FCT), FONDECYT 1080326 grant, Chilepor
dc.language.isoengpor
dc.publisherTaylor and Francispor
dc.rightsrestrictedAccesspor
dc.subjectDiagnostic and goodness-of-fit techniquespor
dc.subjectML methodspor
dc.subjectHazard analysispor
dc.subjectMomentspor
dc.subjectWind speedpor
dc.titleModeling wind energy flux by a Birnbaum-Saunders distribution with an unknowm shift parameterpor
dc.typearticlepor
dc.peerreviewedyespor
dc.relation.publisherversionhttp://dx.doi.org/10.1080/02664763.2011.570319por
sdum.publicationstatuspublishedpor
oaire.citationStartPage2819por
oaire.citationEndPage2838por
oaire.citationIssue12por
oaire.citationTitleJournal of Applied Statisticspor
oaire.citationVolume38por
sdum.journalJournal of Applied Statisticspor
Aparece nas coleções:CMAT - Artigos em revistas com arbitragem / Papers in peer review journals
DMA - Artigos (Papers)

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