References in zbMATH (referenced in 22 articles )

1. Andor, Mark A.; Parmeter, Christopher; Sommer, Stephan: Combining uncertainty with uncertainty to get certainty? Efficiency analysis for regulation purposes (2019)
2. Kao, Chiang; Liu, Shiang-Tai: Stochastic efficiency measures for production units with correlated data (2019)
3. Bjørndal, Endre; Bjørndal, Mette; Cullmann, Astrid; Nieswand, Maria: Finding the right yardstick: regulation of electricity networks under heterogeneous environments (2018)
4. Bogetoft, Peter; Kromann, Lene: Evaluating treatment effects using data envelopment analysis on matched samples: an analysis of electronic information sharing and firm performance (2018)
5. Nieswand, Maria; Seifert, Stefan: Environmental factors in frontier estimation -- a Monte Carlo analysis (2018)
6. Park, SeJoon; Ok, Changsoo; Ha, Chunghun: A stochastic simulation-based holistic evaluation approach with DEA for vendor selection (2018)
7. Ang, Frederic; Kerstens, Pieter Jan: Decomposing the Luenberger-Hicks-Moorsteen total factor productivity indicator: an application to U.S. agriculture (2017)
8. Ferrara, Giancarlo; Vidoli, Francesco: Semiparametric stochastic frontier models: a generalized additive model approach (2017)
9. Bogetoft, Peter; Hougaard, Jens Leth; Smilgins, Aleksandrs: Applied cost allocation: the DEA-Aumann-Shapley approach (2016)
10. Gómez-Calvet, Roberto; Conesa, David; Gómez-Calvet, Ana Rosa; Tortosa-Ausina, Emili: On the dynamics of eco-efficiency performance in the European Union (2016)
11. Olesen, Ole B.; Petersen, Niels Christian: Stochastic data envelopment analysis -- a review (2016)
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14. Cesaroni, Giovanni; Giovannola, Daniele: Average-cost efficiency and optimal scale sizes in non-parametric analysis (2015)
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18. Papakonstantinou, Athanasios; Bogetoft, Peter: Short communication: DEA based auctions simulations (2013)
19. Bogetoft, Peter; Otto, Lars: Benchmarking with DEA, SFA, and R. (2011)
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