uses a stochastic dominance efficiency methodology to obtain two extreme, case-weighting vectors using the Academic Ranking …

Results of data envelopment analysis sensitively respond to stochastic noise in the data. In this paper, by … introduction of output augmentation and input reduction I extend additive models for stochastic data envelopment analysis (SDEA … computed. The computed scores are compared to the stochastic frontier approach scores by Druska and Horrace (2004) and weak …

We construct a new family of chance constrained directional models in stochastic data envelopment analysis … directional models define the same concept of stochastic efficiency as the one given by chance constrained radial models and, as a … particular case, we obtain a stochastic version of the generalized Farrell measure. Finally, we give some examples of application …