Explicit results on conditional distributions of generalized exponential mixtures

dc.contributor.authorKlüppelberg, Claudia
dc.contributor.authorSeifert, Miriam Isabel
dc.date.accessioned2020-02-14T15:10:11Z
dc.date.available2020-02-14T15:10:11Z
dc.date.issued2020
dc.description.abstractFor independent exponentially distributed random variables Xi, i ∈ N with distinct rates λi we consider sums ∑i∈AXi for A⊆N which follow generalized exponential mixture (GEM) distributions. We provide novel explicit results on the conditional distribution of the total sum ∑i∈NXi giventhat a subset sum ∑j∈NXj exceeds a certain threshold value t > 0, and vice versa. Moreover, we investigate the characteristic tail behavior of these conditional distributions for t → ∞,. Finally, we illustrate how our probabilistic results can be applied in practice by providing examples from both reliability theory and risk management.en
dc.identifier.urihttp://hdl.handle.net/2003/38570
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-20489
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB823;2/2020en
dc.subjectconditional distributionen
dc.subjecttail behavioren
dc.subjectrisk managementen
dc.subjectreliability theoryen
dc.subjectphase-type distributionsen
dc.subjectgeneralized exponential mixture distributionen
dc.subjectexponential distributionen
dc.subjectconvolutionen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.subject.rswkBedingte Wahrscheinlichkeitsverteilungde
dc.subject.rswkExponentialverteilungde
dc.subject.rswkZusammengesetzte Verteilungde
dc.titleExplicit results on conditional distributions of generalized exponential mixturesen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access
eldorado.secondarypublicationfalsede

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