Data Envelopment Analysis
A Handbook of Models and Methods
This handbook represents a milestone in the progression of Data Envelopment Analysis (DEA). Written by experts who are often major contributors to DEA theory, it includes a collection of chapters that represent the current state-of-the-art in DEA research. Topics include distance functions and their value duals, cross-efficiency measures in DEA, integer DEA, weight restrictions and production trade-offs, facet analysis in DEA, scale elasticity, benchmarking and context-dependent DEA, fuzzy DEA, non-homogenous units, partial input-output relations, super efficiency, treatment of undesirable measures, translation invariance, stochastic nonparam…
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Produktdetails
- ISBN: 978-1-4899-7552-2
- EAN: 9781489975522
- Produktnummer: 17151264
- Verlag: Springer Us
- Sprache: Englisch
- Erscheinungsjahr: 2015
- Seitenangabe: 480 S.
- Masse: H24.4 cm x B17.2 cm x D3.3 cm 855 g
- Auflage: 2015
- Abbildungen: HC gerader Rücken kaschiert
- Gewicht: 855
Über den Autor
Professor Joe Zhu is one of the prominent researchers in the field of Data Envelopment Analysis (DEA). His research interests are in the areas of operations and business analytics, productivity modeling, and performance evaluation and benchmarking. He has published over 100 articles in peer-reviewed journals including Operations Research, Sloan Management Review, European Journal of Operational Research, Journal of the Operational Research Society, Naval Research Logistics, IIE Transactions, Journal of Banking and Finance, OMEGA, and others. He is an Area Editor of OMEGA, an Associate Editor of INFOR, and the Associate Series Editor of Springer's International Series in Operations Research and Management Science.He is a Japan Society for Promotion of Science (JSPS) fellow and a William Evans Visiting Fellow of University of Otago, New Zealand. His research has been supported by KPMG Foundation, National Institute of Health, and Department of Veterans Affairs.
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