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A multivariate statistical approach to reducing the number of variables in data envelopment analysis

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  • Jenkins, Larry
  • Anderson, Murray
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    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 147 (2003)
    Issue (Month): 1 (May)
    Pages: 51-61

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    Handle: RePEc:eee:ejores:v:147:y:2003:i:1:p:51-61

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    1. Adler, Nicole & Golany, Boaz, 2001. "Evaluation of deregulated airline networks using data envelopment analysis combined with principal component analysis with an application to Western Europe," European Journal of Operational Research, Elsevier, vol. 132(2), pages 260-273, July.
    2. Sinuany-Stern, Zilla & Friedman, Lea, 1998. "DEA and the discriminant analysis of ratios for ranking units," European Journal of Operational Research, Elsevier, vol. 111(3), pages 470-478, December.
    3. Sarkis, Joseph, 2000. "A comparative analysis of DEA as a discrete alternative multiple criteria decision tool," European Journal of Operational Research, Elsevier, vol. 123(3), pages 543-557, June.
    4. Friedman, Lea & Sinuany-Stern, Zilla, 1997. "Scaling units via the canonical correlation analysis in the DEA context," European Journal of Operational Research, Elsevier, vol. 100(3), pages 629-637, August.
    5. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    6. Salminen, Pekka & Hokkanen, Joonas & Lahdelma, Risto, 1998. "Comparing multicriteria methods in the context of environmental problems," European Journal of Operational Research, Elsevier, vol. 104(3), pages 485-496, February.
    7. Hokkanen, Joonas & Salminen, Pekka, 1997. "Choosing a solid waste management system using multicriteria decision analysis," European Journal of Operational Research, Elsevier, vol. 98(1), pages 19-36, April.
    8. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
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    Cited by:
    1. Paradi, Joseph C. & Zhu, Haiyan, 2013. "A survey on bank branch efficiency and performance research with data envelopment analysis," Omega, Elsevier, vol. 41(1), pages 61-79.
    2. Meng, Wei & Zhang, Daqun & Qi, Li & Liu, Wenbin, 2008. "Two-level DEA approaches in research evaluation," Omega, Elsevier, vol. 36(6), pages 950-957, December.
    3. Cláudia Araújo & Carlos Barros & Peter Wanke, 2014. "Efficiency determinants and capacity issues in Brazilian for-profit hospitals," Health Care Management Science, Springer, vol. 17(2), pages 126-138, June.
    4. Gutiérrez-Nieto, Begoña & Serrano-Cinca, Carlos & Mar Molinero, Cecilio, 2007. "Microfinance institutions and efficiency," Omega, Elsevier, vol. 35(2), pages 131-142, April.
    5. Kyuseok Lee & Kyuwan Choi, 2010. "Cross redundancy and sensitivity in DEA models," Journal of Productivity Analysis, Springer, vol. 34(2), pages 151-165, October.
    6. Büschken, Joachim, 2009. "When does data envelopment analysis outperform a naïve efficiency measurement model?," European Journal of Operational Research, Elsevier, vol. 192(2), pages 647-657, January.
    7. Ehrgott, Matthias & Klamroth, Kathrin & Schwehm, Christian, 2004. "An MCDM approach to portfolio optimization," European Journal of Operational Research, Elsevier, vol. 155(3), pages 752-770, June.
    8. Coronel De Renolfi, Marta & Ortuño Pérez, Sigfredo Francisco & Fullana Belda, Carmen, 2007. "Repercusiones socioeconómicas de la nueva política forestal Argentina. Aplicación a la provincia de Santiago del Estero/Socio-economic Repercussions of the Present Forest Politics in Argentina. An ," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 25, pages 587-608, Abril.

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