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dc.contributor.authorSchmeiser, Bruce W.
dc.contributor.authorFox, Bennett L.
dc.contributor.authorLewis, Peter A.W.
dc.contributor.authorSeila, Andrew F.
dc.contributor.authorWilson, James R.
dc.date.accessioned2014-01-29T23:39:12Z
dc.date.available2014-01-29T23:39:12Z
dc.date.issued1978
dc.identifier.urihttp://hdl.handle.net/10945/38592
dc.descriptionWinter Simulation Conferenceen_US
dc.description.abstractOrder statistics are of ten needed in computer simulation. Common examples are .quantile estimation and censored data test statistics.· Methods for generating order statistics in various contexts are surveyed. Sorting and the use of histograms, the most general methods, are first discussed, followed by a method for non-identically distributed samples. Finally,· the very powerful methods applicable to iid random variables are surveyed.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleThe Generation of Order Statistics in Digital Computer Simulationen_US
dc.typeConference Paperen_US


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