Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/44998
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dc.titleApproximating a cumulative distribution function by generalized hyperexponential distributions
dc.contributor.authorOu, J.
dc.contributor.authorLi, J.
dc.contributor.authorÖzekici, S.
dc.date.accessioned2013-10-10T04:39:43Z
dc.date.available2013-10-10T04:39:43Z
dc.date.issued1997
dc.identifier.citationOu, J.,Li, J.,Özekici, S. (1997). Approximating a cumulative distribution function by generalized hyperexponential distributions. Probability in the Engineering and Informational Sciences 11 (1) : 11-18. ScholarBank@NUS Repository.
dc.identifier.issn02699648
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/44998
dc.description.abstractRecent developments in stochastic modeling show that enormous analytical advantages can be gained if a general cumulative distribution function (c.d.f.) can be approximated by generalized hyperexponential distributions. In this paper, we introduce a procedure to explicitly construct such approximations of an arbitrary c.d.f. Although our approach can be used in different types of stochastic models, the main motivation comes from queueing theory in obtaining approximations of the idle-period distribution and other performance measures in GI/G/1 queues.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentDECISION SCIENCES
dc.description.sourcetitleProbability in the Engineering and Informational Sciences
dc.description.volume11
dc.description.issue1
dc.description.page11-18
dc.identifier.isiutNOT_IN_WOS
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