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Handbook on Data Envelopment Analysis

  • Book
  • © 2004

Overview

Editors:
  1. William W. Cooper

    1. University of Texas at Austin, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Lawrence M. Seiford

    1. University of Michigan at Ann Arbor, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Joe Zhu

    1. Worcester Polytechnic Institute, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 71)

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Data Envelopment Analysis

    • William W. Cooper, Lawrence M. Seiford, Joe Zhu
    Pages 1-39

  3. Returns to Scale in DEA

    • Rajiv D. Banker, William W. Cooper, Lawrence M. Seiford, Joe Zhu
    Pages 41-73

  4. Sensitivity Analysis in DEA

    • William W. Cooper, Shanling Li, Lawrence M. Seiford, Joe Zhu
    Pages 75-97

  5. Incorporating Value Judgments in DEA

    • Emmanuel Thanassoulis, Maria Conceição Portela, Rachel Allen
    Pages 99-138

  6. Distance Functions

    • Rolf Färe, Shawna Grosskopf, Gerald Whittaker
    Pages 139-152

  7. Qualitative Data in Dea

    • Wade D. Cook
    Pages 153-175

  8. Congestion

    • William W. Cooper, Honghui Deng, Lawrence M. Seiford, Joe Zhu
    Pages 177-201

  9. Malmquist Productivity Index

    • Kaoru Tone
    Pages 203-227

  10. Chance Constrained Dea

    • William W. Cooper, Zhimin Huang, Susan X. Li
    Pages 229-264

  11. Performance of the Bootstrap for Dea Estimators and Iterating the Principle

    • Léopold Simar, Paul W. Wilson
    Pages 265-298

  12. Statistical Tests Based on Dea Efficiency Scores

    • Rajiv D. Banker, Ram Natarajan
    Pages 299-321

  13. Performance Evaluation in Education

    • John Ruggiero
    Pages 323-346

  14. Assessing Bank and Bank Branch Performance

    • Joseph C. Paradi, Sandra Vela, Zijiang Yang
    Pages 349-394

  15. Engineering Applications of Data Envelopment Analysis

    • Konstantinos P. Triantis
    Pages 401-441

  16. Benchmarking in Sports

    • Timothy R. Anderson
    Pages 443-454

  17. Assessing the Selling Function in Retailing

    • Antreas Athanassopoulos
    Pages 455-479

  18. Health Care Applications

    • Jon A. Chilingerian, H. David Sherman
    Pages 481-537

  19. Dea Software Tools and Technology

    • Richard S. Barr
    Pages 539-566

  20. Back Matter

    Pages 567-593
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Keywords

About this book

Data Envelopment Analysis (DEA) is a relatively new “data-oriented” 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.

Reviews

From the reviews:

"This handbook provides a valuable overview of DEA models on the one hand and many DEA applications supplemented by software information on the other hand. … can be recommended to researchers, students and practitioners with basic knowledge of DEA who are interested in current DEA methodology and applications." (Andreas Kleine, OR-News Gesellschaft für Operations Research (GOR) e.V., Iss. 24, Juli, 2005)

Editors and Affiliations

  • University of Texas at Austin, USA

    William W. Cooper

  • University of Michigan at Ann Arbor, USA

    Lawrence M. Seiford

  • Worcester Polytechnic Institute, USA

    Joe Zhu

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