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In den WarenkorbZustand: New. pp. 344.
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In den WarenkorbZustand: New. pp. 344 Illus.
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In den WarenkorbHardcover. Zustand: Good. No Jacket. Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.53.
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Verlag: Springer, 1991
ISBN 10: 0387518665 ISBN 13: 9780387518664
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In den WarenkorbHardcover. Zustand: Near Fine. Book.
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Verlag: Springer US, Springer US Nov 2010, 2010
ISBN 10: 1441944001 ISBN 13: 9781441944009
Sprache: Englisch
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In den WarenkorbTaschenbuch. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 344 pp. Englisch.
Anbieter: Best Price, Torrance, CA, USA
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Anbieter: moluna, Greven, Deutschland
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In den WarenkorbGebunden. 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.
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Verlag: Springer, 2007
Sprache: Englisch
Anbieter: Books in my Basket, New Delhi, Indien
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In den WarenkorbHardcover. Zustand: New. ISBN:9780387716060.
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In den WarenkorbZustand: New. pp. 344.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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In den WarenkorbBuch. 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.
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