A Data Collection Strategy for Estimation of Cost Coefficients of a Linear Programming Model

A. A. Cunningham and D. M. Frances
Additional contact information
A. A. Cunningham: University of Toronto
D. M. Frances: University of Toronto

Management Science, 1976, vol. 22, issue 10, 1074-1080

Abstract: The problem considered is one of selecting from a number of alternative sources of information for the refinement of estimates of objective function coefficients of a linear programming model. The approach used is that of Bayesian decision theory. A sequential scheme for the computing of bounds on the value of information is devised. Using these bounds the information of greatest value may be identified.

Date: 1976
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.22.10.1074 (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:ormnsc:v:22:y:1976:i:10:p:1074-1080

Access Statistics for this article

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