Data Envelopment Analysis: Theory, Methodology, and ApplicationsAbraham Charnes, William W. Cooper, Arie Y. Lewin, Lawrence M. Seiford Springer Science & Business Media, 1995 M07 31 - 513 pages 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 through NSF Grant #SES-8722504 (A. Charnes and 2 W. W. Cooper, co-PIs) and the support of the IC Institute. |
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Contents
Introduction | 3 |
Basic DEA Models | 23 |
Extensions to DEA Models | 49 |
Computational Aspects of DEA | 63 |
DEA Software Packages | 89 |
Novel Applications | 95 |
Evaluating the Impacts of Operating Strategies on Efficiency in the US Airline Industry | 97 |
Analyzing Technical Allocative Efficiency on Hospitals | 129 |
A Comparative Analysis of Ferry Transport in Norway | 285 |
Incorporating Standards Via DEA | 313 |
Stratified Models of Education Production Using Modified DEA and Regression Analysis | 329 |
The Problem of New and Disappearing Commodities in the Construction of Price Indexes | 353 |
Evaluating the Relative Efficiency of Baseball Players | 369 |
Sensitivity Analysis of Efficiency Measures with Applications to Kansas Farming and Illinois Coal Mining | 393 |
Epilogue Process and Bibliography | 423 |
The DEA Process Usages and Interpretations | 425 |
A Multiperiod Analysis of Market Segments and Brand Efficiency in the Competitive Carbonated Beverage industry | 145 |
Exploring Why Some Physicians Hospital Practices Are More Efficient Taking DEA Inside the Hospital | 167 |
On the Measurement and Monitoring of Relative Efficiency of Highway Maintenance Patrols | 195 |
Strategic Leaders in the US Brewing industry A Longitudinal Analysis of Outliers | 211 |
A Spatial Efficiency Framework for the Support of Locational Decision | 235 |
Productivity Developments in Swedish Hospitals A Malmquist Output Index Approach | 253 |
Ownership Type Property Rights and Relative Efficiency | 273 |
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Common terms and phrases
ABUD addition application approach ASSC associated Austin average Banker bounds brand calculated chapter Charnes coefficients compared computational Cooper cost Data Envelopment Analysis DEA models decision defined determine developed distance distribution dual Economics effect efficiency scores equation estimates evaluated example facet factors FALS ferries figure firms frontier function given GRBT HLMN hospital important increasing indicates industry inefficiency input Journal labor linear LONE LUCK Management Mean measures method multiple Note objective observed obtained OLYM operating optimal output PBST performance period physicians players positive possible practice present problem production programming projected Public RAIN ratio reference regression relative reported represented require Research returns sample scale Science Sensitivity SLTZ solution standard statistical strategic groups student Systems Table technical types units University values variables weights
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