Efficiency Models In Data Envelopment Analysis
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Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis
Author: Joe Zhu
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-06-08
In a relatively short period of time, data envelopment analysis (DEA) has grown into a powerful analytical tool for measuring and evaluating performance. DEA is computational at its core and this book is one of several Springer aim to publish on the subject. This work deals with the micro aspects of handling and modeling data issues in DEA problems. It is a handbook treatment dealing with specific data problems, including imprecise data and undesirable outputs.
Introduction to the Theory and Application of Data Envelopment Analysis
Author: Emmanuel Thanassoulis
language: en
Publisher: Springer Science & Business Media
Release Date: 2001-07-31
The book aims to introduce the reader to DEA in the most accessible manner possible. It is specifically aimed at those who have had no prior exposure to DEA and wish to learn its essentials, how it works, its key uses, and the mechanics of using it. The latter will include using DEA software. Students on degree or training courses will find the book especially helpful. The same is true of practitioners engaging in comparative efficiency assessments and performance management within their organisation. Examples are used throughout the book to help the reader consolidate the concepts covered.
Efficiency Models in Data Envelopment Analysis
This volume discusses the latest techniques and their economic applications for modern industries like computer, pharmaceutical, banking and other manufacturing. Both econometric and mathematical programming techniques are analyzed so as to develop a synthetic approach.