Statistical Acceptance Sampling in a Competitive Environment

Melvin Dresher and Sidney Moglewer
Additional contact information
Melvin Dresher: Consultant, Pacific Palisades, California
Sidney Moglewer: U.S. Nuclear Regulatory Commission, Washington, D.C.

Operations Research, 1980, vol. 28, issue 3-part-i, 503-511

Abstract: This paper presents a model and its solution for a statistical acceptance sample inventory problem in a competitive environment. The model is based upon the theory of games and is applied to a nuclear material accounting example. A game is formulated between a diverter who might deliberately steal valuable nuclear material and a defender who must make inferences based upon inventory difference. The diverter controls the mean of the inventory difference distribution which is not known by the defender. The solution presents a policy for the defender to estimate this distribution mean as well as other information to be used as the basis for additional statistical inferences.

Date: 1980
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/opre.28.3.503 (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:28:y:1980:i:3-part-i:p:503-511

Access Statistics for this article

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