附註:Includes bibliographical references and index.
Cover -- Table of Contents -- Preface -- 1 Data Envelopment Analysis: History, Models and Interpretations -- 2 Returns to Scale in DEA -- 3 Sensitivity Analysis in DEA -- 4 Incorporating Value Judgments in DEA -- 5 Distance Functions with Applications to DEA -- 6 Qualitative Data in DEA -- 7 Congestion: Its Identification and Management -- 8 Malmquist Productivity Index: -- 9 Chance Constrained DEA -- 10 Performance of the Bootstrap for DEA -- 11 Statistical Tests Based on DEA Efficiency Scores -- 12 Performance Evaluation in Education: -- 13 Assessing Bank and Bank Branch Performance: -- 14 Engineering Applications of Data Envelopment -- 15 Benchmarking in Sports: Bonds or Ruth: -- 16 Assessing the Selling Function in Retailing: -- 17 Health Care Applications: From Hospitals to -- 18 DEA Software Tools and Technology: -- Notes about Authors -- Author Index.
摘要:"Data Envelopment Analysis (DEA) is a relatively new "data-oriented" approach for evaluating the performances of a set of entities called DecisionMaking 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 other methods , 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."--Page xi
