Data Envelopment Analysis

Edited by Joe Zhu ()

in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier

Date: 2015
Edition: 2015
ISBN: 978-1-4899-7553-9
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Chapters in this book:

Ch 1 Distance Functions in Primal and Dual Spaces

Rolf Färe, Shawna Grosskopf and Dimitri Margaritis

Ch 2 DEA Cross Efficiency

Wade D. Cook and Joe Zhu

Ch 3 DEA Cross Efficiency Under Variable Returns to Scale

Sungmook Lim and Joe Zhu

Ch 4 Discrete and Integer Valued Inputs and Outputs in Data Envelopment Analysis

Timo Kuosmanen, Abolfazl Keshvari and Reza Kazemi Matin

Ch 5 DEA Models with Production Trade-offs and Weight Restrictions

Victor V. Podinovski

Ch 6 Facet Analysis in Data Envelopment Analysis

Ole B. Olesen and Niels Chr. Petersen

Ch 7 Stochastic Nonparametric Approach to Efficiency Analysis: A Unified Framework

Timo Kuosmanen, Andrew Johnson and Antti Saastamoinen

Ch 8 Translation Invariance in Data Envelopment Analysis

Jesus T. Pastor and Juan Aparicio

Ch 9 Scale Elasticity in Non-parametric DEA Approach

Biresh Sahoo and Kaoru Tone

Ch 10 DEA Based Benchmarking Models

Joe Zhu

Ch 11 Data Envelopment Analysis with Non-Homogeneous DMUs

Wade D. Cook, Julie Harrison, Raha Imanirad, Paul Rouse and Joe Zhu

Ch 12 Efficiency Measurement in Data Envelopment Analysis with Fuzzy Data

Chiang Kao

Ch 13 Partial Input to Output Impacts in DEA: Production Considerations and Resource Sharing Among Business Sub-Units

Raha Imanirad, Wade D. Cook and Joe Zhu

Ch 14 Super-Efficiency in Data Envelopment Analysis

Yao Chen and Juan Du

Ch 15 DEA Models with Undesirable Inputs, Intermediates, and Outputs

Zhongbao Zhou and Wenbin Liu

Ch 16 Frontier Differences and the Global Malmquist Index

Mette Asmild

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DOI: 10.1007/978-1-4899-7553-9

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