Technical Note—A Generalized Maximum Entropy Principle

Marlin U. Thomas
Additional contact information
Marlin U. Thomas: University of Michigan, Ann Arbor, Michigan

Operations Research, 1979, vol. 27, issue 6, 1188-1196

Abstract: We describe a generalized maximum entropy principle for dealing with decision problems involving uncertainty but with some prior knowledge about the probability space corresponding to nature. This knowledge is expressed through known bounds on event probabilities and moments, which can be incorporated into a nonlinear programming problem. The solution provides a maximum entropy distribution that is then used in treating the decision problem as one involving risk. We describe an example application that involves the selection of oil spill recovery systems for inland harbor regions.

Date: 1979
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://dx.doi.org/10.1287/opre.27.6.1188 (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:27:y:1979:i:6:p:1188-1196

Access Statistics for this article

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