Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/84950
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dc.contributor.authorArab, Idir-
dc.contributor.authorOliveira, Paulo-
dc.date.accessioned2019-02-20T21:46:17Z-
dc.date.available2019-02-20T21:46:17Z-
dc.date.issued2018-
dc.identifier.issn0269-9648pt
dc.identifier.issn1469-8951pt
dc.identifier.urihttp://hdl.handle.net/10316/84950-
dc.description.abstractStochastic ordering of random variables may be defined by the relative convexity of the tail functions. This has been extended to higher order stochastic orderings, by iteratively reassigning tail-weights. The actual verification of stochastic orderings is not simple, as this depends on inverting distribution functions for which there may be no explicit expression. The iterative definition of distributions, of course, contributes to make that verification even harder. We have a look at the stochastic ordering, introducing a method that allows for explicit usage, applying it to the Gamma and Weibull distributions, giving a complete description of the order of relations within each of these families.pt
dc.language.isoporpt
dc.rightsopenAccesspt
dc.subjectapplied probabilitypt
dc.subjectcomputational probabilitypt
dc.subjectstochastic modellingpt
dc.titleITERATED FAILURE RATE MONOTONICITY AND ORDERING RELATIONS WITHIN GAMMA AND WEIBULL DISTRIBUTIONSpt
dc.typearticle-
degois.publication.firstPage64pt
degois.publication.lastPage80pt
degois.publication.issue1pt
degois.publication.titleProbability in the Engineering and Informational Sciencespt
dc.peerreviewedyespt
dc.identifier.doi10.1017/S0269964817000481pt
degois.publication.volume33pt
dc.date.embargo2018-01-01*
dc.date.periodoembargo0pt
item.languageiso639-1pt-
item.grantfulltextopen-
item.fulltextCom Texto completo-
Appears in Collections:I&D CMUC - Artigos em Revistas Internacionais
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