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System Simulation and Maximum Entropy
Maynard M. W. Chan
Vol. 19, No. 7 (Nov. - Dec., 1971), pp. 1751-1753
Published by: INFORMS
Stable URL: http://www.jstor.org/stable/169195
Page Count: 3
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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.
Operations Research © 1971 INFORMS