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Data Envelopment Analysis : A Comprehensive Text with Models, Applications, References and DEA-Solver Software /

By: Cooper, William W [author.].
Contributor(s): Seiford, Lawrence M [author.] | Tone, Kaoru [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Boston, MA : Springer US, 2007.Edition: Second Edition.Description: XXXVIII, 492 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9780387452838.Subject(s): Business | Management science | Operations research | Decision making | Industrial engineering | Production engineering | Engineering economics | Engineering economy | Econometrics | Microeconomics | Business and Management | Operation Research/Decision Theory | Business and Management, general | Econometrics | Microeconomics | Engineering Economics, Organization, Logistics, Marketing | Industrial and Production EngineeringDDC classification: 658.40301 Online resources: Click here to access online
Contents:
General Discussion -- The Basic CCR Model -- The CCR Model and Production Correspondence -- Alternative Dea Models -- Returns to Scale -- Models with Restricted Multipliers -- Non-Discretionary and Categorical Variables -- Allocation Models -- Data Variations -- Super-Efficiency Models -- Efficiency Change over Time -- Scale Elasticity and Congestion -- Undesirable Outputs Models -- Economies of Scope and Capacity Utilization -- A Dea Game -- Multi-Stage Use of Parametric and Non-Parametric Models.
In: Springer eBooksSummary: Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References, And DEA-Solver Software, 2nd Edition is designed to provide a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts. Each chapter accompanies its developments with simple numerical examples and discussions of actual applications. Emphasis is placed on the use as well as an understanding of DEA and the topics in this book have been selected and treated accordingly. The first nine chapters cover the basic principles of DEA and the final seven chapters are more advanced treatment of DEA. These final chapters were completely revised into new chapters, reflecting recent developments that greatly extend the power and scope of DEA and lead to new directions for research and DEA uses. Together with the first ten chapters of the basic principles, they will provide students and researchers with a solid understanding of the methodology, its uses and its potential.
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Item type Current location Call number Status Date due Barcode Item holds
E books E books PK Kelkar Library, IIT Kanpur
Available EBK6952
Total holds: 0

General Discussion -- The Basic CCR Model -- The CCR Model and Production Correspondence -- Alternative Dea Models -- Returns to Scale -- Models with Restricted Multipliers -- Non-Discretionary and Categorical Variables -- Allocation Models -- Data Variations -- Super-Efficiency Models -- Efficiency Change over Time -- Scale Elasticity and Congestion -- Undesirable Outputs Models -- Economies of Scope and Capacity Utilization -- A Dea Game -- Multi-Stage Use of Parametric and Non-Parametric Models.

Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References, And DEA-Solver Software, 2nd Edition is designed to provide a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts. Each chapter accompanies its developments with simple numerical examples and discussions of actual applications. Emphasis is placed on the use as well as an understanding of DEA and the topics in this book have been selected and treated accordingly. The first nine chapters cover the basic principles of DEA and the final seven chapters are more advanced treatment of DEA. These final chapters were completely revised into new chapters, reflecting recent developments that greatly extend the power and scope of DEA and lead to new directions for research and DEA uses. Together with the first ten chapters of the basic principles, they will provide students and researchers with a solid understanding of the methodology, its uses and its potential.

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