Handbook on Data Envelopment Analysis

Handbook on Data Envelopment Analysis
Author :
Publisher : Springer Science & Business Media
Total Pages : 513
Release :
ISBN-10 : 9781441961518
ISBN-13 : 1441961518
Rating : 4/5 (18 Downloads)

Book Synopsis Handbook on Data Envelopment Analysis by : William W. Cooper

Download or read book Handbook on Data Envelopment Analysis written by William W. Cooper and published by Springer Science & Business Media. This book was released on 2011-08-23 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook covers DEA topics that are extensively used and solidly based. The purpose of the handbook is to (1) describe and elucidate the state of the field and (2), where appropriate, extend the frontier of DEA research. It defines the state-of-the-art of DEA methodology and its uses. This handbook is intended to represent a milestone in the progression of DEA. Written by experts, who are generally major contributors to the topics to be covered, it includes a comprehensive review and discussion of basic DEA models, which, in the present issue extensions to the basic DEA methods, and a collection of DEA applications in the areas of banking, engineering, health care, and services. The handbook's chapters are organized into two categories: (i) basic DEA models, concepts, and their extensions, and (ii) DEA applications. First edition contributors have returned to update their work. The second edition includes updated versions of selected first edition chapters. New chapters have been added on: different approaches with no need for a priori choices of weights (called “multipliers) that reflect meaningful trade-offs, construction of static and dynamic DEA technologies, slacks-based model and its extensions, DEA models for DMUs that have internal structures network DEA that can be used for measuring supply chain operations, Selection of DEA applications in the service sector with a focus on building a conceptual framework, research design and interpreting results.


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This handbook serves as a complement to the Handbook on Data Envelopment Analysis (eds, W.W. Cooper, L.M. Seiford and J, Zhu, 2011, Springer) in an effort to ex