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~isPartOf:"Data-enabled analytics : DEA for big data"
~person:"Cullmann, Astrid"
~person:"Karagiannēs, Giannēs"
~person:"Oude Lansink, Alfons G. J. M."
~person:"Tzeremes, Nickolaos G."
~person:"Zelenyuk, Valentin"
~person:"Zofío, José L."
~source:"econis"
~subject:"Nonparametric statistics"
~subject:"Technical efficiency"
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Nonparametric statistics
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Cullmann, Astrid
Karagiannēs, Giannēs
Oude Lansink, Alfons G. J. M.
Tzeremes, Nickolaos G.
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Zofío, José L.
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Data-enabled analytics : DEA for big data
European journal of operational research : EJOR
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27th Australasian Finance and Banking Conference 2014 Paper
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The estimation of productive efficiency through machine learning techniques : efficiency analysis trees
Aparicio, Juan
;
Esteve, Miriam
;
Rodriguez-Sala, Jesus J.
; …
- In:
Data-enabled analytics : DEA for big data
,
(pp. 51-92)
.
2021
Persistent link: https://www.econbiz.de/10012880171
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2
Aggregation of outputs and inputs for DEA analysis of hospital efficiency : economics, operations research and data science perspectives
Bao Hoang Nguyen
;
Zelenyuk, Valentin
- In:
Data-enabled analytics : DEA for big data
,
(pp. 123-158)
.
2021
Persistent link: https://www.econbiz.de/10012880177
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