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Context-dependent performance standards in DEA
Cook, Wade D.; Zhu, Joe - 2010
Persistent link: https://www.econbiz.de/10008380989
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A modified super-efficiency DEA model for infeasibility
Cook, W.D.; Liang, L.; Zha, Y.; Zhu, J. - In: Journal of the Operational Research Society : OR 60 (2009) 2, pp. 276-281
Persistent link: https://www.econbiz.de/10008165562
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Using Operational and Stock Analytics to Measure Airline Performance : A Network DEA Approach
Zhang, Qian; Koutmos, Dimitrios; Chen, Kun; Zhu, Joe - In: Decision Sciences 52 (2019) 3, pp. 720-748
Persistent link: https://www.econbiz.de/10012193136
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Sensitivity and stability of the classifications of returns to scale in Data Envelopment Analysis
Seiford, Lawrence M.; Zhu, Joe - In: Journal of productivity analysis 12 (1999) 1, pp. 55-75
Persistent link: https://www.econbiz.de/10001410503
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On the decomposition of DEA inefficiency
Chen, Yao; Morita, Hiroshi; Zhu, Joe - In: Multi-objective programming and goal programming : …, (pp. 99-104). 2003
Persistent link: https://www.econbiz.de/10002005968
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An approach for determining DEA efficiency bounds
Chen, Yao; Morita, Hiroshi; Zhu, Joe - In: Multi-objective programming and goal programming : …, (pp. 105-110). 2003
Persistent link: https://www.econbiz.de/10002005978
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Notes on sensitivity and stability of the classifications of returns to scale in data envelopment analysis: a comment
Seiford, Lawrence M.; Zhu, Joe - In: Journal of productivity analysis 23 (2005) 3, pp. 315-316
Persistent link: https://www.econbiz.de/10002975748
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Data envelopment analysis and big data : a systematic literature review with bibliometric analysis
Charles, Vincent; Gherman, Tatiana; Zhu, Joe - In: Data-enabled analytics : DEA for big data, (pp. 1-29). 2021
Persistent link: https://www.econbiz.de/10012880161
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Acceleration of large-scale DEA computations using random forest classification
Yu, Anyu; Shi, Yu; Zhu, Joe - In: Data-enabled analytics : DEA for big data, (pp. 31-49). 2021
Persistent link: https://www.econbiz.de/10012880167