dc.contributor.author | Morse, Philip M., 1903- | en_US |
dc.date.accessioned | 2004-05-28T19:24:59Z | |
dc.date.available | 2004-05-28T19:24:59Z | |
dc.date.issued | 1976-02 | en_US |
dc.identifier.uri | http://hdl.handle.net/1721.1/5141 | |
dc.description.abstract | Both 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.sponsorship | Supported in part by the U.S. Army Research Office (Durham) under Contract No. DAHC04-73-C-0032. | en_US |
dc.format.extent | 1746 bytes | |
dc.format.extent | 1324178 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | en_US |
dc.publisher | Massachusetts Institute of Technology, Operations Research Center | en_US |
dc.relation.ispartofseries | Operations Research Center Working Paper;OR 049-76 | en_US |
dc.title | The Geometric and the Bradford Distributions: A Comparison | en_US |
dc.type | Working Paper | en_US |