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Titlebook: Data Envelopment Analysis: Theory, Methodology, and Applications; Abraham Charnes,William W. Cooper,Lawrence M. Seif Book 1994 Springer Sc

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書目名稱Data Envelopment Analysis: Theory, Methodology, and Applications
編輯Abraham Charnes,William W. Cooper,Lawrence M. Seif
視頻videohttp://file.papertrans.cn/263/262805/262805.mp4
圖書封面Titlebook: Data Envelopment Analysis: Theory, Methodology, and Applications;  Abraham Charnes,William W. Cooper,Lawrence M. Seif Book 1994 Springer Sc
描述This book represents a milestone in the progression of Data Envelop- ment Analysis (DEA). It is the first reference text which includes a comprehensive review and comparative discussion of the basic DEA models. The development is anchored in a unified mathematical and graphical treatment and includes the most important modeling ex- tensions. In addition, this is the first book that addresses the actual process of conducting DEA analyses including combining DEA and 1 parametric techniques. The book has three other distinctive features. It traces the applications- driven evolution and diffusion of DEA models and extensions across disciplinary boundaries. It includes a comprehensive bibliography to serve as a source of references as well as a platform for further develop- ments. And, finally, the power of DEA analysis is demonstrated through fifteen novel applications which should serve as an inspiration for future applications and extensions of the methodology. The origin of this book was a Conference on New Uses of DEA in 2 Management and Public Policy which was held at the IC Institute of the University of Texas at Austin on September 27-29, 1989. The conference was made possible t
出版日期Book 1994
關(guān)鍵詞data envelopment; Data Envelopment Analysis; Diffusion; production; productivity
版次1
doihttps://doi.org/10.1007/978-94-011-0637-5
isbn_softcover978-0-7923-9480-8
isbn_ebook978-94-011-0637-5
copyrightSpringer Science+Business Media New York 1994
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Computational Aspects of DEAies of the mathematical models that compose the methodology. In this chapter, we introduce elements of the computational characteristics of DEA in the context of the basic DEA models that were presented in chapter 2.
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DEA Software Packagesses. Although, in principle, DEA solutions can be obtained with convential linear programming software, in reality this task can be time-consuming. In principle, DEA solutions require the calculation of as many linear programs as there are DMUs. When using ordinary linear programming software packag
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Exploring Why Some Physicians’ Hospital Practices are More Efficient: Taking DEA Inside the Hospitaling. First, although physicians account for less than 20% of those expenditures, they control up to 80% of the expenditure decisions (Eisenberg, 1986). Second, research has begun to reveal wide variations in the way physicians practice medicine (Eisenberg, 1986). Moreover, these findings have led so
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Strategic Leaders in the U.S. Brewing Industry: A Longitudinal Analysis of Outliersstrategic groups. Hunt (1972), Newman (1973, 1978), and Porter (1973, 1979; also see Caves and Porter, 1977) originally established some of the key concepts and hypotheses in strategic group research. However, empirical support to validate strategic groups or test hypotheses about strategic group th
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