Modeling joint production of multiple outputs in StoNED : directional distance function approach
Year of publication: |
16 October 2017
|
---|---|
Authors: | Kuosmanen, Timo ; Johnson, Andrew L. |
Published in: |
European journal of operational research : EJOR. - Amsterdam : Elsevier, ISSN 0377-2217, ZDB-ID 243003-4. - Vol. 262.2017, 2 (16.10.), p. 792-801
|
Subject: | Data envelopment analysis (DEA) | Economies of scope | Efficiency analysis | Frontier estimation | Stochastic nonparametric envelopment of data (StoNED) | Data-Envelopment-Analyse | Data envelopment analysis | Technische Effizienz | Technical efficiency | Produktionsfunktion | Production function | Verbundvorteil | Schätztheorie | Estimation theory | Nichtparametrisches Verfahren | Nonparametric statistics | Schätzung | Estimation | Effizienz | Efficiency | Produktionstheorie | Production theory |
-
Exact tests on returns to scale and comparisons of production frontiers in nonparametric models
Rønn-Nielsen, Anders, (2019)
-
Frontier estimation in nonparametric location-scale models
Florens, Jean-Pierre, (2014)
-
Parman, Bryon J., (2019)
- More ...
-
One-stage and two-stage DEA estimation of the effects of contextual variables
Johnson, Andrew L., (2012)
-
A more efficient algorithm for Convex Nonparametric Least Squares
Lee, Chia-Yen, (2013)
-
One-stage and two-stage DEA estimation of the effects of contextual variables
Johnson, Andrew L., (2012)
- More ...