Data Envelopment Analysis - A Handbook of Models and Methods (Paperback, Softcover reprint of the original 1st ed. 2015)

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 Fare, 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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	International Series in Operations Research & Management Science, 221
Release date:	October 2016
First published:	2015
Editors:	Joe Zhu
Dimensions:	235 x 155 x 25mm (L x W x T)
Format:	Paperback
Pages:	465
Edition:	Softcover reprint of the original 1st ed. 2015
ISBN-13:	978-1-4899-7845-5
Categories:	Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General
LSN:	1-4899-7845-3
Barcode:	9781489978455

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