Chance-Constrained DEA
William W. Cooper (),
Zhimin Huang () and
Susan X. Li ()
Additional contact information
William W. Cooper: University of Texas at Austin
Zhimin Huang: Adelphi University
Susan X. Li: Adelphi University
Chapter Chapter 9 in Handbook on Data Envelopment Analysis, 2011, pp 211-240 from Springer
Abstract:
Abstract Incorporation of random variations into DEA analysis has received significant attention in recent years. This chapter describes some of these developments and offers examples of possible uses in the area of chance-constrained programming models in DEA.
Keywords: Chance-constrained DEA; Stochastic; Joint probability; Congestion; Satisficing (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (1)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:isochp:978-1-4419-6151-8_9
Ordering information: This item can be ordered from
http://www.springer.com/9781441961518
DOI: 10.1007/978-1-4419-6151-8_9
Access Statistics for this chapter
More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().