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Comparing and combining two approaches for chance constrained DEA
by
Olesen, O. B.
in
Best practice
/ Cartesianism
/ Confidence interval
/ Data envelopment analysis
/ Determinism
/ Efficiency decisions
/ Efficiency metrics
/ Hypotheses
/ Input output
/ Lagrangian function
/ Modeling
/ Probabilities
/ Random variables
/ Randomness
/ Sensitivity analysis
2006
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Comparing and combining two approaches for chance constrained DEA
by
Olesen, O. B.
in
Best practice
/ Cartesianism
/ Confidence interval
/ Data envelopment analysis
/ Determinism
/ Efficiency decisions
/ Efficiency metrics
/ Hypotheses
/ Input output
/ Lagrangian function
/ Modeling
/ Probabilities
/ Random variables
/ Randomness
/ Sensitivity analysis
2006
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Do you wish to request the book?
Comparing and combining two approaches for chance constrained DEA
by
Olesen, O. B.
in
Best practice
/ Cartesianism
/ Confidence interval
/ Data envelopment analysis
/ Determinism
/ Efficiency decisions
/ Efficiency metrics
/ Hypotheses
/ Input output
/ Lagrangian function
/ Modeling
/ Probabilities
/ Random variables
/ Randomness
/ Sensitivity analysis
2006
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Comparing and combining two approaches for chance constrained DEA
Journal Article
Comparing and combining two approaches for chance constrained DEA
2006
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Overview
This paper presents a comparison of two different models (Land et al (1993) and Olesen and Petersen (1995)), both designed to extend DEA to the case of stochastic inputs and outputs. The two models constitute two approaches within this area, that share certain characteristics. However, the two models behave very differently, and the choice between these two models can be confusing. This paper presents a systematic attempt to point out differences as well as similarities. It is demonstrated that the two models under some assumptions do have Lagrangian duals expressed in closed form. Similarities and differences are discussed based on a comparison of these dual structures. Weaknesses of the each of the two models are discussed and a merged model that combines attractive features of each of the two models is proposed.
Publisher
Spring Science+Business Media,Springer Nature B.V
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