| dc.creator |
Morse, Philip M., 1903- |
|
| dc.date |
2004-05-28T19:24:59Z |
|
| dc.date |
2004-05-28T19:24:59Z |
|
| dc.date |
1976-02 |
|
| dc.date.accessioned |
2013-10-09T02:37:57Z |
|
| dc.date.available |
2013-10-09T02:37:57Z |
|
| dc.date.issued |
2013-10-09 |
|
| dc.identifier |
http://hdl.handle.net/1721.1/5141 |
|
| dc.identifier.uri |
http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
|
| dc.description |
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. |
|
| dc.description |
Supported in part by the U.S. Army Research Office (Durham) under Contract No. DAHC04-73-C-0032. |
|
| dc.format |
1746 bytes |
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| dc.format |
1324178 bytes |
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| dc.format |
application/pdf |
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| dc.language |
en_US |
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| dc.publisher |
Massachusetts Institute of Technology, Operations Research Center |
|
| dc.relation |
Operations Research Center Working Paper;OR 049-76 |
|
| dc.title |
The Geometric and the Bradford Distributions: A Comparison |
|
| dc.type |
Working Paper |
|