Handbook on Data Envelopment Analysis

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(593 Seiten)
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ISBN-13:
9781402077982
Einband:
PDF
Seiten:
593
Autor:
William W. Cooper
Serie:
International Series in Operations Research & Management Science
eBook Typ:
PDF
eBook Format:
PDF
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:

Data Envelopment Analysis (DEA) is a relatively new "e;data-oriented"e; approach for evaluating the performances of a set of entities called Decision- Making Units (DMUs) which convert multiple inputs into multiple outputs. DEA has been used in evaluating the performances of many different kinds of entities engaged in many different kinds of activities in many different contexts. It has opened up possibilities for use in cases which have been resistant to other approaches because of the complex and often unknown nature of the relations between the multiple inputs and outputs involved in many of these activities, which are often reported in non-commeasurable units. DEA has also been used to supply new insights into activities and entities that have previously been evaluated by othermethods. This handbook is intended to represent a milestone in the progression of DEA. Written by experts, who are often major contributors to the topics to be covered, it includes a comprehensive review and discussion of basic DEA models, extensions to the basic DEA methods, and a collection of DEA applications in the areas of banking, education, sports, retail, health care, and a review of current DEA software technology. This handbook's chapters are organized into three categories: (i) basic DEA models, concepts, and their extensions; (ii) DEA applications; and (iii) xii Preface DEA software packages. The first category consists of eleven chapters.
Data Envelopment Analysis (DEA) is a relatively new "e;data-oriented"e; approach for evaluating the performances of a set of entities called Decision- Making Units (DMUs) which convert multiple inputs into multiple outputs. DEA has been used in evaluating the performances of many different kinds of entities engaged in many different kinds of activities in many different contexts. It has opened up possibilities for use in cases which have been resistant to other approaches because of the complex and often unknown nature of the relations between the multiple inputs and outputs involved in many of these activities, which are often reported in non-commeasurable units. DEA has also been used to supply new insights into activities and entities that have previously been evaluated by othermethods. This handbook is intended to represent a milestone in the progression of DEA. Written by experts, who are often major contributors to the topics to be covered, it includes a comprehensive review and discussion of basic DEA models, extensions to the basic DEA methods, and a collection of DEA applications in the areas of banking, education, sports, retail, health care, and a review of current DEA software technology. This handbook's chapters are organized into three categories: (i) basic DEA models, concepts, and their extensions; (ii) DEA applications; and (iii) xii Preface DEA software packages. The first category consists of eleven chapters.
  • Preface; W.W. Cooper, L.M. Seiford, J. Zhu.
  • 1. Data Envelopment Analysis: History, Models and Interpretations; W.W. Cooper, L.M. Seiford, J. Zhu.
  • 2. Returns to Scale in DEA: R.D. Banker, W.W. Cooper, L.M. Seiford, J. Zhu.
  • 3. Sensitivity Analysis in DEA: W.W. Cooper, Shanling Li, L.M. Seiford, J. Zhu.
  • 4. Incorporating Value Judgments in DEA: E. Thanassoulis, M.C. Portela, R. Allen.
  • 5. Distance Functions with Applications to DEA; R. Färe, S. Grosskopf, G. Whittaker.
  • 6. Qualitative Data in DEA; W.D. Cook.
  • 7. Congestion: Its Identification and Management with DEA; W.W. Cooper, Honghui Deng, L.M. Seiford, J. Zhu.
  • 8. Malmquist Productivity Index: Efficiency Change Over Time; K. Tone.
  • 9. Chance Constrained DEA: W.W. Cooper, Zhimin Huang, S.X. Li.
  • 10. Performance of the Bootstrap for DEA Estimators and Iterating the Principle: L. Simar, P.W.Wilson.
  • 11. Statistical Tests Based on DEA Efficiency Scores; R.D. Banker, R. Natarajan.
  • 12. Performance Evaluation in Education: Modeling Educational Production; J. Ruggiero.
  • 13. Assessing Bank and Bank Branch Performance: Modeling Considerations and Approaches; J.C. Paradi, S. Vela, Zijiang Yang.
  • 14. Engineering Applications of Data Envelopment Analysis: Issues and Opportunities: K.P. Triantis.
  • 15. Benchmarking in Sports: Bonds or Ruth: Determining the Most Dominant Baseball Batter Using DEA; T.R. Anderson.

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