Bibliographic data envelopment analysis

This book represents a milestone in the progression of Data Envelop ment Analysis (DEA). It is the first reference text which includes a comprehensive review and comparative discussion of the basic DEA models. The development is anchored in a unified mathematical and graphical treatment and includes the most important modeling ex tensions. In addition, this is the first book that addresses the Reviews: 1. Zandi and A. Emrouznejad (), “Evaluation Efficiency of Large Scale Data Set with Negative Data: An Artificial Neural Networks Approach,” Journal of Supercomputing 71(7): – Indra Widiarto and A. Emrouznejad () “Social and financial efficiency of Islamic microfinance institutions: A Data Envelopment Analysis application”. Data Envelopment Analysis BIBLIOGRAPHY Data Envelopment Analysis (DEA) is a technique relying on mathematical programming methods for estimating various types of efficiency in production. First applied by Michael Farrell in , the technique was popularized and named by Abraham Charnes, William W. Cooper, and Eduardo Rhodes in the late s.

Bibliographic data envelopment analysis

This handbook compiles state-of-the-art empirical studies and applications using Data Envelopment Analysis (DEA). It includes a collection of 18 chapters written by DEA experts. Chapter 1 examines the performance of CEOs of U.S. banks and thrifts. Chapter 2 describes the network operational. Data Envelopment Analysis with Maple in OR and Modeling Courses Introduction What is Data Envelopment Analysis? “Data Envelopment Analysis (DEA), occasionally called frontier analysis, was first put forward by Charnes, Cooper and Rhodes in It is a performance measurement technique which can. Third, several traditional MS/OR journals including European Journal of Operational Research, Journal of the Operational Research Society, Journal of Productivity Analysis, Omega and Annals of Operations Research are the most utilized journals for DEA publications, while journal of Socio-Economic Planning Sciences has been identified first. This book represents a milestone in the progression of Data Envelop ment Analysis (DEA). It is the first reference text which includes a comprehensive review and comparative discussion of the basic DEA models. The development is anchored in a unified mathematical and graphical treatment and includes the most important modeling ex tensions. In addition, this is the first book that addresses the Reviews: 1. Data Envelopment Analysis BIBLIOGRAPHY Data Envelopment Analysis (DEA) is a technique relying on mathematical programming methods for estimating various types of efficiency in production. First applied by Michael Farrell in , the technique was popularized and named by Abraham Charnes, William W. Cooper, and Eduardo Rhodes in the late s.Although there have been several bibliographic collections reported, a comprehensive analysis and listing of DEA-related articles covering its first four decades. Jan 2, A bibliography () of Data Envelopment Analysis (DEA) is presented. Some statistical numbers concerning the evolution of DEA are. Data envelopment analysis literature: a bibliography update. (–) *. Said Gattoufiº, Muhittin Oral', Arnold Reismana,b,* a Graduate School of. Latest bibliography of DEA with more than 10, articles is now published: CLICK “Assessing the Queuing Process Using Data Envelopment Analysis: An . This version compiles over published articles and dissertations related to Data Envelopment Analysis (DEA). The bibliography covers the years .

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Conducting Data Envelopment Analysis in STATA, time: 4:22
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