Data Envelopment Analysis

A Handbook of Models and Methods

Business & Finance, Management & Leadership, Operations Research, Nonfiction, Science & Nature, Technology, Engineering, Industrial
Cover of the book Data Envelopment Analysis by , Springer US
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781489975539
Publisher: Springer US Publication: March 18, 2015
Imprint: Springer Language: English
Author:
ISBN: 9781489975539
Publisher: Springer US
Publication: March 18, 2015
Imprint: Springer
Language: English

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 nonparametric envelopment of data, and global frontier index.

Focusing only on new models/approaches of DEA, the book includes contributions from Juan Aparicio, Mette Asmild, Yao Chen, Wade D. Cook, Juan Du, Rolf Färe, Julie Harrison, Raha Imanirad, Andrew Johnson, Chiang Kao, Abolfazl Keshvari, Timo Kuosmanen, Sungmook Lim, Wenbin Liu, Dimitri Margaritis, Reza Kazemi Matin, Ole B. Olesen, Jesus T. Pastor, Niels Chr. Petersen, Victor V. Podinovski, Paul Rouse, Antti Saastamoinen, Biresh K. Sahoo, Kaoru Tone, and Zhongbao Zhou.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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 nonparametric envelopment of data, and global frontier index.

Focusing only on new models/approaches of DEA, the book includes contributions from Juan Aparicio, Mette Asmild, Yao Chen, Wade D. Cook, Juan Du, Rolf Färe, Julie Harrison, Raha Imanirad, Andrew Johnson, Chiang Kao, Abolfazl Keshvari, Timo Kuosmanen, Sungmook Lim, Wenbin Liu, Dimitri Margaritis, Reza Kazemi Matin, Ole B. Olesen, Jesus T. Pastor, Niels Chr. Petersen, Victor V. Podinovski, Paul Rouse, Antti Saastamoinen, Biresh K. Sahoo, Kaoru Tone, and Zhongbao Zhou.

More books from Springer US

Cover of the book The Foreman/Supervisor’s Handbook by
Cover of the book Educational Innovations Beyond Technology by
Cover of the book Surface Water by
Cover of the book Search Methodologies by
Cover of the book Chemists’ Views of Imaging Centers by
Cover of the book The Computer-Based Design Process by
Cover of the book Performance Evaluation and Benchmarking of Intelligent Systems by
Cover of the book Passivity and Protection of Metals Against Corrosion by
Cover of the book Modern Vaccinology by
Cover of the book Steroid and Sterol Hormone Action by
Cover of the book Supporting Real Time Decision-Making by
Cover of the book Global Behavioral Risk Factor Surveillance by
Cover of the book Mechanisms of Cerebral Hypoxia and Stroke by
Cover of the book Textbook of Research Ethics by
Cover of the book Cardiac Surgery by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy