Fast computation by block permanents of cumulative distribution functions of order statistics from several populations

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dc.creatorGlueck, Deborah H.
dc.creatorKarimpour-Fard, Anis
dc.creatorMandel, Jan
dc.creatorHunter, Larry
dc.creatorMuller, Keith E.
dc.date2007-05-25
dc.date.accessioned2026-07-07T12:04:39Z
dc.date.available2026-07-07T12:04:39Z
dc.descriptionThe joint cumulative distribution function for order statistics arising from several different populations is given in terms of the distribution function of the populations. The computational cost of the formula in the case of two populations is still exponential in the worst case, but it is a dramatic improvement compared to the general formula by Bapat and Beg. In the case when only the joint distribution function of a subset of the order statistics of fixed size is needed, the complexity is polynomial, for the case of two populations.
dc.description21 pages, 3 figures
dc.identifierhttps://arxiv.org/abs/0705.3851
dc.identifierhttp://arxiv.org/abs/0705.3851
dc.identifierCommunications in Statistics - Theory and Methods 37 (18): 2815-2824 2008
dc.identifierdoi:10.1080/03610920802001896
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/208161
dc.subjectStatistics Theory
dc.subjectProbability
dc.subjectComputation
dc.subject65C50
dc.titleFast computation by block permanents of cumulative distribution functions of order statistics from several populations
dc.typetext

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