Stochastic DEA

Samah Jradi and John Ruggiero
Additional contact information
John Ruggiero: University of Dayton

Post-Print from HAL

Abstract: Data Envelopment Analysis (DEA) was introduced as a linear programming model by Charnes et al. (Eur J Oper Res 2:429\textendash444, 1978) and Banker et al. (Manag Sci 30:1078\textendash1092, 1984) as a nonparametric model to estimate frontier production and technical efficiency using linear programming. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Date: 2023-06-22
References: Add references at CitEc
Citations:

Published in Pedro Macedo, Victor Moutinho, Mara Madaleno (Eds). Advanced Mathematical Methods for Economic Efficiency Analysis: Theory and Empirical Applications, 692, Springer Cham, pp.131-142, 2023, Lecture Notes in Economics and Mathematical Systems (LNE, volume 692), 978-3-031-29582-9. ⟨10.1007/978-3-031-29583-6_8⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Chapter: Stochastic DEA (2023)
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:hal:journl:hal-04458212

DOI: 10.1007/978-3-031-29583-6_8

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().