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Data Envelopment Analysis: A Handbook of Models and Methods (International Series in Operations Research & Management Science (221)) by Joe Zhu (eds.) is a nonfiction available to read on EtoBox.

What is Data Envelopment Analysis: A Handbook of Models and Methods (International Series in Operations Research & Management Science (221)) about?

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.

Who reads Data Envelopment Analysis: A Handbook of Models and Methods (International Series in Operations Research & Management Science (221))?

Author

Joe Zhu (eds.)

Publisher

Springer US

Published

2015

Language

EN

ISBN

9781489978455

Category

nonfiction

Subjects

Science, Technology, Business