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dc.contributor.authorMorse, Philip M., 1903-en_US
dc.date.accessioned2004-05-28T19:24:59Z
dc.date.available2004-05-28T19:24:59Z
dc.date.issued1976-02en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/5141
dc.description.abstractBoth the geometric and the Bradford probability distributions are used to describe collections of items of interest in information science. Each unit item has a productivity, an integer n measuring the amount of use of the item. The cumulative fraction Fn of items with productivity equal to n or greates may be expressed as a function of n or else as a function of the cumulative mean productivity Gn of items with productivity equal to n or greater. If Fn is an exponential function of n, the distribution is geometric; if it is an exponential function of Gn, it is a Bradford distribution. The exact solution of Fn as a function of n for the Bradford distribution is computed; the results are tabulated. Graphs are given, comparing the two distributions, and their relative usefulness is discussed.en_US
dc.description.sponsorshipSupported in part by the U.S. Army Research Office (Durham) under Contract No. DAHC04-73-C-0032.en_US
dc.format.extent1746 bytes
dc.format.extent1324178 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherMassachusetts Institute of Technology, Operations Research Centeren_US
dc.relation.ispartofseriesOperations Research Center Working Paper;OR 049-76en_US
dc.titleThe Geometric and the Bradford Distributions: A Comparisonen_US
dc.typeWorking Paperen_US


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