Data Envelopment Analysis: History, Models, and Interpretations
William W. Cooper (),
Lawrence Seiford and
Joe Zhu ()
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William W. Cooper: University of Texas at Austin
Joe Zhu: Worcester Polytechnic Institute
Chapter Chapter 1 in Handbook on Data Envelopment Analysis, 2011, pp 1-39 from Springer
Abstract In about 30 years, Data Envelopment Analysis (DEA) has grown into a powerful quantitative, analytical tool for measuring and evaluating the performance. DEA has been successfully applied to a host of many different types of entities engaged in a wide variety of activities in many contexts worldwide. This chapter discusses the basic DEA models and some of their extensions.
Keywords: Data envelopment analysis; Efficiency; Performance (search for similar items in EconPapers)
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