Handbook on Data Envelopment Analysis:
Data Envelopment Analysis (DEA) is a relatively new "data-oriented" approach for evaluating the performances of a set of entities called Decision- Making Units (DMUs) which convert multiple inputs into multiple outputs. DEA has been used in evaluating the performances of many different kin...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer US
2004
|
| Ausgabe: | 1st ed. 2004 |
| Schriftenreihe: | International Series in Operations Research & Management Science
71 |
| Schlagworte: | |
| Online-Zugang: | BTU01 Volltext |
| Zusammenfassung: | Data Envelopment Analysis (DEA) is a relatively new "data-oriented" approach for evaluating the performances of a set of entities called Decision- Making Units (DMUs) which convert multiple inputs into multiple outputs. DEA has been used in evaluating the performances of many different kinds of entities engaged in many different kinds of activities in many different contexts. It has opened up possibilities for use in cases which have been resistant to other approaches because of the complex and often unknown nature of the relations between the multiple inputs and outputs involved in many of these activities, which are often reported in non-commeasurable units. DEA has also been used to supply new insights into activities and entities that have previously been evaluated by othermethods. This handbook is intended to represent a milestone in the progression of DEA. Written by experts, who are often major contributors to the topics to be covered, it includes a comprehensive review and discussion of basic DEA models, extensions to the basic DEA methods, and a collection of DEA applications in the areas of banking, education, sports, retail, health care, and a review of current DEA software technology. This handbook’s chapters are organized into three categories: (i) basic DEA models, concepts, and their extensions; (ii) DEA applications; and (iii) xii Preface DEA software packages. The first category consists of eleven chapters |
| Beschreibung: | 1 Online-Ressource (XIV, 593 p. 10 illus) |
| ISBN: | 9781402077982 |
| DOI: | 10.1007/b105307 |
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| 520 | |a Data Envelopment Analysis (DEA) is a relatively new "data-oriented" approach for evaluating the performances of a set of entities called Decision- Making Units (DMUs) which convert multiple inputs into multiple outputs. DEA has been used in evaluating the performances of many different kinds of entities engaged in many different kinds of activities in many different contexts. It has opened up possibilities for use in cases which have been resistant to other approaches because of the complex and often unknown nature of the relations between the multiple inputs and outputs involved in many of these activities, which are often reported in non-commeasurable units. DEA has also been used to supply new insights into activities and entities that have previously been evaluated by othermethods. This handbook is intended to represent a milestone in the progression of DEA. Written by experts, who are often major contributors to the topics to be covered, it includes a comprehensive review and discussion of basic DEA models, extensions to the basic DEA methods, and a collection of DEA applications in the areas of banking, education, sports, retail, health care, and a review of current DEA software technology. This handbook’s chapters are organized into three categories: (i) basic DEA models, concepts, and their extensions; (ii) DEA applications; and (iii) xii Preface DEA software packages. The first category consists of eleven chapters | ||
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| doi_str_mv | 10.1007/b105307 |
| edition | 1st ed. 2004 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T15:15:38Z |
| indexdate | 2024-07-10T08:56:10Z |
| institution | BVB |
| isbn | 9781402077982 |
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| spelling | Handbook on Data Envelopment Analysis edited by William W. Cooper, Lawrence M. Seiford, Joe Zhu 1st ed. 2004 New York, NY Springer US 2004 1 Online-Ressource (XIV, 593 p. 10 illus) txt rdacontent c rdamedia cr rdacarrier International Series in Operations Research & Management Science 71 Data Envelopment Analysis (DEA) is a relatively new "data-oriented" approach for evaluating the performances of a set of entities called Decision- Making Units (DMUs) which convert multiple inputs into multiple outputs. DEA has been used in evaluating the performances of many different kinds of entities engaged in many different kinds of activities in many different contexts. It has opened up possibilities for use in cases which have been resistant to other approaches because of the complex and often unknown nature of the relations between the multiple inputs and outputs involved in many of these activities, which are often reported in non-commeasurable units. DEA has also been used to supply new insights into activities and entities that have previously been evaluated by othermethods. This handbook is intended to represent a milestone in the progression of DEA. Written by experts, who are often major contributors to the topics to be covered, it includes a comprehensive review and discussion of basic DEA models, extensions to the basic DEA methods, and a collection of DEA applications in the areas of banking, education, sports, retail, health care, and a review of current DEA software technology. This handbook’s chapters are organized into three categories: (i) basic DEA models, concepts, and their extensions; (ii) DEA applications; and (iii) xii Preface DEA software packages. The first category consists of eleven chapters Operations Research/Decision Theory Operations Research, Management Science IT in Business Econometrics Engineering Economics, Organization, Logistics, Marketing Business and Management, general Operations research Decision making Management science Information technology Business—Data processing Engineering economics Engineering economy Business Datenanalyse (DE-588)4123037-1 gnd rswk-swf Datenanalyse (DE-588)4123037-1 s DE-604 Cooper, William W. edt Seiford, Lawrence M. edt Zhu, Joe edt Erscheint auch als Druck-Ausgabe 9781475784800 Erscheint auch als Druck-Ausgabe 9781475784794 Erscheint auch als Druck-Ausgabe 9781402077975 https://doi.org/10.1007/b105307 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Handbook on Data Envelopment Analysis Operations Research/Decision Theory Operations Research, Management Science IT in Business Econometrics Engineering Economics, Organization, Logistics, Marketing Business and Management, general Operations research Decision making Management science Information technology Business—Data processing Engineering economics Engineering economy Business Datenanalyse (DE-588)4123037-1 gnd |
| subject_GND | (DE-588)4123037-1 |
| title | Handbook on Data Envelopment Analysis |
| title_auth | Handbook on Data Envelopment Analysis |
| title_exact_search | Handbook on Data Envelopment Analysis |
| title_exact_search_txtP | Handbook on Data Envelopment Analysis |
| title_full | Handbook on Data Envelopment Analysis edited by William W. Cooper, Lawrence M. Seiford, Joe Zhu |
| title_fullStr | Handbook on Data Envelopment Analysis edited by William W. Cooper, Lawrence M. Seiford, Joe Zhu |
| title_full_unstemmed | Handbook on Data Envelopment Analysis edited by William W. Cooper, Lawrence M. Seiford, Joe Zhu |
| title_short | Handbook on Data Envelopment Analysis |
| title_sort | handbook on data envelopment analysis |
| topic | Operations Research/Decision Theory Operations Research, Management Science IT in Business Econometrics Engineering Economics, Organization, Logistics, Marketing Business and Management, general Operations research Decision making Management science Information technology Business—Data processing Engineering economics Engineering economy Business Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | Operations Research/Decision Theory Operations Research, Management Science IT in Business Econometrics Engineering Economics, Organization, Logistics, Marketing Business and Management, general Operations research Decision making Management science Information technology Business—Data processing Engineering economics Engineering economy Business Datenanalyse |
| url | https://doi.org/10.1007/b105307 |
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