Overview
- There certainly is a need for such a book. We have had issues for a long time on how to deal with computation/data variety problems in the DEA literature
- The authors are well recognized in the areas and have done substantial research and consulting in the computational and data areas in DEA. I believe the book will be of high quality based upon their authority and experience
- Wade Cook and Joe Zhu are well known researchers in DEA. Their work spans the history of DEA as well as its range, from theory to practice. They are proposing a timely edited volume inviting "DEA experts on DEA computational and data issues to address important DEA implementation difficulties." The idea for the book is good and is in tune with the evolutionary stage of the topic
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Table of contents (17 chapters)
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Front Matter
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Back Matter
Keywords
About this book
DEA is computational at its core and this book will be one of several books that we will look to publish on the computational aspects of DEA. This book by Zhu and Cook will deal with the micro aspects of handling and modeling data issues in modeling DEA problems. DEA's use has grown with its capability of dealing with complex "service industry" and the "public service domain" types of problems that require modeling both qualitative and quantitative data. This will be a handbook treatment dealing with specific data problems including the following: (1) imprecise data, (2) inaccurate data, (3) missing data, (4) qualitative data, (5) outliers, (6) undesirable outputs, (7) quality data, (8) statistical analysis, (9) software and other data aspects of modeling complex DEA problems. In addition, the book will demonstrate how to visualize DEA results when the data is more than 3-dimensional, and how to identify efficiency units quickly and accurately.
Reviews
From the reviews:
"This book collects 17 articles that study data envelopment analysis (DEA) techniques. … Those working with and already familiar with DEA methods may find the book more useful." (Robert Lund, Journal of the American Statistical Association, Vol. 103 (484), December 2008)
Editors and Affiliations
Bibliographic Information
Book Title: Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis
Editors: Joe Zhu, Wade D. Cook
DOI: https://doi.org/10.1007/978-0-387-71607-7
Publisher: Springer New York, NY
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer-Verlag US 2007
Hardcover ISBN: 978-0-387-71606-0Published: 06 July 2007
Softcover ISBN: 978-1-4419-4400-9Published: 04 November 2010
eBook ISBN: 978-0-387-71607-7Published: 08 June 2007
Edition Number: 1
Number of Pages: VIII, 334
Number of Illustrations: 60 b/w illustrations
Topics: Operations Research/Decision Theory, Optimization, Public Economics, Econometrics, Business and Management, general, Operations Research, Management Science