Data Envelopment Analysis (DEA) has grown into a powerful, quantitative analytical tool for measuring and evaluating performance. This volume offers a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts.
Each chapter accompanies its developments with simple numerical examples and discussions of actual applications. Emphasis is placed on the use as well as an understanding of DEA and the topics in this book have been selected and treated accordingly.
The first nine chapters cover the basic principles of DEA, while the final seven chapters provide a more advanced treatment. For this new, second edition, these final chapters have been completely revised, reflecting recent developments that have greatly extended the power and scope of DEA and have lead to new directions for research and DEA uses.
This new edition systematically details both the basic principles and new developments in DEA, offering a solid understanding of the methodology, its uses, and its potential.
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