DEA for Heterogeneous Samples

DOI10.1007/978-3-319-18167-7_2zbMath1370.90128OpenAlexW1178459097MaRDI QIDQ5357729

Vsevolod Petrushchenko, Fuad T. Aleskerov

Publication date: 12 September 2017

Published in: Advances in Intelligent Systems and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-18167-7_2

zbMATH Keywords

data envelopment analysisheterogeneityuniversitiessequential exclusion of alternatives

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50)

Related Items (1)

Models of data envelopment analysis and stochastic frontier analysis in the efficiency assessment of universities

Cites Work

• Unnamed Item
• Determining sources of relative inefficiency in heterogeneous samples: methodology using cluster analysis, DEA and neural networks
• Efficiency Analysis for Exogenously Fixed Inputs and Outputs
• Using DEA and survival analysis for measuring performance of branches in New Zealand's Accident Compensation Corporation
• A NEW MEASURE OF RANK CORRELATION

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