Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis

edited by Joe Zhu, Wade D. Cook

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.

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Year of publication:	2007
Other Persons:	Zhu, Joe (contributor) ; Cook, Wade D. (contributor)
Publisher:	Boston, MA : Springer Science+Business Media, LLC
Subject:	Data-Envelopment-Analyse \| Data envelopment analysis \| Theorie \| Theory \| Führungsentscheidung \| Effizienzmessung \| Data Envelopment Analysis
Description of contents:	Table of Contents [gbv.de] ; Description [swbplus.bsz-bw.de] ; Description [zbmath.org]

Extent:	Online-Ressource (digital)
Series:	SpringerLink / Bücher
Type of publication:	Book / Working Paper
Language:	English
Notes:	Includes bibliographical references and index Pages:1 to 25; Pages:26 to 50; Pages:51 to 75; Pages:76 to 100; Pages:101 to 125; Pages:126 to 150; Pages:151 to 175; Pages:176 to 200; Pages:201 to 225; Pages:226 to 250; Pages:251 to 275; Pages:276 to 300; Pages:301 to 325; Pages:326 to 333
ISBN:	978-0-387-71607-7 ; 978-0-387-71606-0
Other identifiers:	10.1007/978-0-387-71607-7 [DOI]
Classification:	Methoden und Techniken der Volkswirtschaft ; Mathematische Statistik
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10013520697