Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis

Edited by Joe Zhu and Wade D. Cook

in Springer Books from Springer

Date: 2007
ISBN: 978-0-387-71607-7
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Chapters in this book:

Ch Chapter 1 Data Irregularities And Structural Complexities In Dea

Wade D. Cook and Joe Zhu

Ch Chapter 10 DEA Presented Graphically Using Multi-Dimensional Scaling

Nicole Adler, Adi Raveh and Ekaterina Yazhemsky

Ch Chapter 11 DEA Models For Supply Chain or Multi-Stage Structure

Wade D. Cook, Liang Liang, Feng Yang and Joe Zhu

Ch Chapter 12 Network DEA

Rolf Färe, Shawna Grosskopf and Gerald Whittaker

Ch Chapter 13 Context-Dependent Data Envelopment Analysis and its Use

Hiroshi Morita and Joe Zhu

Ch Chapter 14 Flexible Measures–Classifying Inputs and Outputs

Wade D. Cook and Joe Zhu

Ch Chapter 15 Integer Dea Models

Sebastián Lozano and Gabriel Villa

Ch Chapter 16 Data Envelopment Analysis With Missing Data

Chiang Kao and Shiang-Tai Liu

Ch Chapter 17 Preparing Your Data for DEA

Joe Sarkis

Ch Chapter 2 Rank Order Data In Dea

Wade D. Cook and Joe Zhu

Ch Chapter 3 Interval And Ordinal Data

Yao Chen and Joe Zhu

Ch Chapter 4 Variables With Negative Values In Dea

Jesús T. Pastor and José L. Ruiz

Ch Chapter 5 Non-Discretionary Inputs

John Ruggiero

Ch Chapter 6 DEA with Undesirable Factors

Zhongsheng Hua and Yiwen Bian

Ch Chapter 7 European Nitrate Pollution Regulation and French Pig Farms’ Performance

Isabelle Piot-Lepetit and Monique Le Moing

Ch Chapter 8 PCA-DEA

Nicole Adler and Boaz Golany

Ch Chapter 9 Mining Nonparametric Frontiers

José H. Dulá

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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-0-387-71607-7

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DOI: 10.1007/978-0-387-71607-7

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