Technical Note—System Simulation and Maximum Entropy

Maynard M. W. Chan
Additional contact information
Maynard M. W. Chan: International Business Machines Corporation, San Jose, California

Operations Research, 1971, vol. 19, issue 7, 1751-1753

Abstract: In the simulation of discrete systems, such as those using the popular GPSS simulator, the following problem is often encountered: What probability distribution should we employ for the value of a system parameter in the absence of any knowledge except its range? Based on the concept of entropy, this note provides justification for the use of several well-known distributions in various cases.

Date: 1971
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/opre.19.7.1751 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:19:y:1971:i:7:p:1751-1753

Access Statistics for this article

More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().