EconPapers    
Economics at your fingertips  
 

Technical Note—The Asymptotic Extreme Value Distribution of the Sample Minimum of a Concave Function under Linear Constraints

Nitin R. Patel and Robert L. Smith
Additional contact information
Nitin R. Patel: Indian Institute of Management, Ahmedabad, India
Robert L. Smith: The University of Michigan, Ann Arbor, Michigan

Operations Research, 1983, vol. 31, issue 4, 789-794

Abstract: We show that the minimum value of a sample of feasible points uniformly distributed over a linear constraint set is, for concave functions, asymptotically Weibull distributed with shape parameter equal to the dimension of the feasible region.

Keywords: 661 extreme values in sampling; 804 sampling in concave objective minimization (search for similar items in EconPapers)
Date: 1983
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1287/opre.31.4.789 (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:31:y:1983:i:4:p:789-794

Access Statistics for this article

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

 
Page updated 2025-03-19
Handle: RePEc:inm:oropre:v:31:y:1983:i:4:p:789-794