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Springer Data Envelopment Analysis Handbook - Series 221

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Description

Advance your knowledge of management science with this comprehensive handbook on Data Envelopment Analysis (DEA). Published by Springer as part of the International Series in Operations Research and Management Science, this volume serves as a definitive resource for researchers and practitioners. The content is authored by leading experts who contribute directly to DEA theory, offering a deep look into the current state-of-the-art research. This text covers a wide range of essential topics, providing the mathematical and methodological foundations needed to master efficiency analysis. Whether you are studying distance functions, cross-efficiency measures, or integer DEA, this handbook provides the technical depth required for academic and professional excellence. It is a foundational tool for anyone working within the fields of operations research, management science, and complex data modeling.

Key Features

Comprehensive coverage of current state-of-the-art research in Data Envelopment Analysis (DEA) for academic and professional use.

Authored by recognized experts and major contributors to the field of DEA theory.

Includes technical chapters on distance functions, value duals, and cross-efficiency measures.

Covers specialized topics such as integer DEA, weight restrictions, and production trade-offs.

Explores advanced methodologies including fuzzy DEA, scale elasticity, and benchmarking.

Provides detailed analysis on facet analysis, super efficiency, and the treatment of undesirable measures.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 October 2016
Listed Since
29 September 2016

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