Modeling Data Irregularities And Structural Complexities In Data Envelopment Analysis, Zhu,J., Cook,W.D., 9780387716060, Springer, 2007, Hardcover
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From the reviews:
"This book collects 17 articles that study data envelopment analysis (DEA) techniques. ... Those working with and already familiar with DEA methods may find the book more useful." (Robert Lund, Journal of the American Statistical Association, Vol. 103 (484), December 2008)
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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hardcover. Zustand: Gut. 342 Seiten; 9780387716060.3 Gewicht in Gramm: 3. Artikel-Nr. 650123
Anzahl: 1 verfügbar
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Zustand: New. In. Artikel-Nr. ria9780387716060_new
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Anbieter: moluna, Greven, Deutschland
Gebunden. Zustand: New. There certainly is a need for such a book. We have had issues for a long time on how to deal with computation/data variety problems in the DEA literatureThe authors are well recognized in the areas and have done substantial research and consulting. Artikel-Nr. 5910625
Anzahl: Mehr als 20 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - DEA is computational at its core and this book will be one of several books that we will look to publish on the computational aspects of DEA. This book by Zhu and Cook will deal with the micro aspects of handling and modeling data issues in modeling DEA problems. DEA's use has grown with its capability of dealing with complex 'service industry' and the 'public service domain' types of problems that require modeling both qualitative and quantitative data. This will be a handbook treatment dealing with specific data problems including the following: (1) imprecise data, (2) inaccurate data, (3) missing data, (4) qualitative data, (5) outliers, (6) undesirable outputs, (7) quality data, (8) statistical analysis, (9) software and other data aspects of modeling complex DEA problems. In addition, the book will demonstrate how to visualize DEA results when the data is more than 3-dimensional, and how to identify efficiency units quickly and accurately. Artikel-Nr. 9780387716060
Anzahl: 2 verfügbar