Introduction to Data Envelopment Analysis and Its Uses: With Dea-Solver Software and References
By William W. Cooper, L. Seiford, Kaoru Tone. 2005
1,202 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/c3faa2d5cadc343c34b7d042118cd73cb2e173c3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Tommaso Agasisti
- Yi-Ming Wei
- Joe Zhu
- Peng Zhou
- William W. Cooper
- Hui Wang
- Carmen Pérez Esparrells
- Hua Liao
Citations in the corpus
- Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach (2012, methodology): “8 The generalized directional distance function proposed in Färe and Grosskopf (2010), which is externally similar to the additive DEA model (Cooper et al., 2006), has recently been used by Chang and Hu (2010) to measure total-factor energy productivity.”
- An empirical analysis of energy efficiency in China's iron and steel sector (2007, background): “It does not require us to prescribe weights to be attached to each input and output, and to prescribe the functional forms that are needed in statistical regression approaches [34].”
- The efficiency of Italian secondary schools and the potential role of competition: a data envelopment analysis using OECD-PISA2006 data (2013, unknown): “In this paper, I only briefly discuss some characteristics of DEA, while suggesting Cooper, Seiford, and Tone (2006), and Zhu (2003) for methodological details.”
- A non-radial DEA approach to measuring environmental performance (2007, methodology): “…by Charnes et al. (1978), is a wellestablished methodology used to evaluate the relative efficiency of a set of comparable entities called decision making units (DMUs) with multiple inputs and outputs by some specific mathematical programming models (Seiford and Thrall, 1990; Cooper et al., 2006).”