Chance‐constrained data envelopment analysis

Published

Journal Article

Data envelopment analysis (DEA) is extended to the case of stochastic inputs and outputs through the use of chance‐constrained programming. The chance‐constrained frontier envelops a given set of observations ‘most of the time’. As an empirical illustration, we re‐examine the pioneering 1981 study of Program Follow Through by Charnes, Cooper and Rhodes. Copyright © 1993 John Wiley & Sons, Ltd.

Full Text

Duke Authors

Cited Authors

  • Land, KC; Lovell, CAK; Thore, S

Published Date

  • January 1, 1993

Published In

Volume / Issue

  • 14 / 6

Start / End Page

  • 541 - 554

Electronic International Standard Serial Number (EISSN)

  • 1099-1468

International Standard Serial Number (ISSN)

  • 0143-6570

Digital Object Identifier (DOI)

  • 10.1002/mde.4090140607

Citation Source

  • Scopus