Advances in DEA theory and applications: with extensions to forecasting models
Gespeichert in:
| Weitere Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ
John Wiley & Sons, Inc.
2017
|
| Ausgabe: | First edition |
| Schriftenreihe: | Wiley series in operations research and management science
|
| Schlagworte: | |
| Online-Zugang: | FRO01 UBG01 Volltext |
| Beschreibung: | Includes bibliographical references and index Title Page ; Copyright Page ; Contents; List of Contributors; About the Authors; Preface; Part 1 DEA Theory ; Chapter 1 Radial DEA Models; 1.1 Introduction; 1.2 Basic Data; 1.3 Input-Oriented CCR Model; 1.3.1 The CRS Model; 1.4 The Input-Oriented BCC Model; 1.4.1 The VRS Model; 1.5 The Output-Oriented Model; 1.6 Assurance Region Method; 1.7 The Assumptions behind Radial Models; 1.8 A Sample Radial Model; References; Chapter 2 Non-Radial DEA Models; 2.1 Introduction; 2.2 The SBM Model; 2.2.1 Input-Oriented SBM; 2.2.2 Output-Oriented SBM; 2.2.3 Non-Oriented SBM; 2.3 An Example of an SBM Model 2.4 The Dual Program of the SBM Model2.5 Extensions of the SBM Model; 2.5.1 Variable-Returns-to-Scale (VRS) Model; 2.5.2 Weighted-SBM Model; 2.6 Concluding Remarks; References; Chapter 3 Directional Distance DEA Models; 3.1 Introduction; 3.2 Directional Distance Model; 3.3 Variable-Returns-to-Scale DD Models; 3.4 Slacks-Based DD Model; 3.5 Choice of Directional Vectors; References; Chapter 4 Super-Efficiency DEA Models; 4.1 Introduction; 4.2 Radial Super-Efficiency Models; 4.2.1 Input-Oriented Radial Super-Efficiency Model; 4.2.2 Output-Oriented Radial Super-Efficiency Model 4.2.3 Infeasibility Issues in the VRS Model4.3 Non-radial Super-Efficiency Models; 4.3.1 Input-Oriented Non-Radial Super-Efficiency Model; 4.3.2 Output-Oriented Non-Radial Super-Efficiency Model; 4.3.3 Non-Oriented Non-Radial Super-Efficiency Model; 4.3.4 Variable-Returns-to-Scale Models; 4.4 An Example of a Super-Efficiency Model; References; Chapter 5 Determining Returns to Scale in the VRS DEA Model; 5.1 Introduction; 5.2 Technology Specification and Scale Elasticity; 5.2.1 Technology; 5.2.2 Measure of Scale Elasticity; 5.2.3 Scale Elasticity in DEA Models; 5.3 Summary; References Chapter 6 Malmquist Productivity Index Models6.1 Introduction; 6.2 Radial Malmquist Model; 6.3 Non-Radial and Oriented Malmquist Model; 6.4 Non-Radial and Non-Oriented Malmquist Model; 6.5 Cumulative Malmquist Index (CMI); 6.6 Adjusted Malmquist Index (AMI); 6.7 Numerical Example; 6.7.1 DMU A; 6.7.2 DMU B; 6.7.3 DMU C; 6.7.4 DMU D; 6.8 Concluding Remarks; References; Chapter 7 The Network DEA Model; 7.1 Introduction; 7.2 Notation and Production Possibility Set; 7.3 Description of Network Structure; 7.3.1 Inputs and Outputs; 7.3.2 Links; 7.4 Objective Functions and Efficiencies 7.4.1 Input-Oriented Case7.4.2 Output-Oriented Case; 7.4.3 Non-Oriented Case; Reference; Chapter 8 The Dynamic DEA Model; 8.1 Introduction; 8.2 Notation and Production Possibility Set; 8.3 Description of Dynamic Structure; 8.3.1 Inputs and Outputs; 8.3.2 Carry-Overs; 8.4 Objective Functions and Efficiencies; 8.4.1 Input-Oriented Case; 8.4.2 Output-Oriented Case; 8.4.3 Non-Oriented Case; 8.5 Dynamic Malmquist Index; 8.5.1 Dynamic Catch-up Index; 8.5.2 Dynamic Frontier Shift Effect; 8.5.3 Dynamic Malmquist Index; 8.5.4 Dynamic Cumulative Malmquist Index; 8.5.5 Dynamic Adjusted Malmquist Index |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9781118946688 9781118946695 9781118946701 |
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| 245 | 1 | 0 | |a Advances in DEA theory and applications |b with extensions to forecasting models |c edited by Kaoru Tone, National Graduate Institute for Policy Studies, Japan |
| 250 | |a First edition | ||
| 264 | 1 | |a Hoboken, NJ |b John Wiley & Sons, Inc. |c 2017 | |
| 300 | |a 1 Online-Ressource | ||
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| 490 | 0 | |a Wiley series in operations research and management science | |
| 500 | |a Includes bibliographical references and index | ||
| 500 | |a Title Page ; Copyright Page ; Contents; List of Contributors; About the Authors; Preface; Part 1 DEA Theory ; Chapter 1 Radial DEA Models; 1.1 Introduction; 1.2 Basic Data; 1.3 Input-Oriented CCR Model; 1.3.1 The CRS Model; 1.4 The Input-Oriented BCC Model; 1.4.1 The VRS Model; 1.5 The Output-Oriented Model; 1.6 Assurance Region Method; 1.7 The Assumptions behind Radial Models; 1.8 A Sample Radial Model; References; Chapter 2 Non-Radial DEA Models; 2.1 Introduction; 2.2 The SBM Model; 2.2.1 Input-Oriented SBM; 2.2.2 Output-Oriented SBM; 2.2.3 Non-Oriented SBM; 2.3 An Example of an SBM Model | ||
| 500 | |a 2.4 The Dual Program of the SBM Model2.5 Extensions of the SBM Model; 2.5.1 Variable-Returns-to-Scale (VRS) Model; 2.5.2 Weighted-SBM Model; 2.6 Concluding Remarks; References; Chapter 3 Directional Distance DEA Models; 3.1 Introduction; 3.2 Directional Distance Model; 3.3 Variable-Returns-to-Scale DD Models; 3.4 Slacks-Based DD Model; 3.5 Choice of Directional Vectors; References; Chapter 4 Super-Efficiency DEA Models; 4.1 Introduction; 4.2 Radial Super-Efficiency Models; 4.2.1 Input-Oriented Radial Super-Efficiency Model; 4.2.2 Output-Oriented Radial Super-Efficiency Model | ||
| 500 | |a 4.2.3 Infeasibility Issues in the VRS Model4.3 Non-radial Super-Efficiency Models; 4.3.1 Input-Oriented Non-Radial Super-Efficiency Model; 4.3.2 Output-Oriented Non-Radial Super-Efficiency Model; 4.3.3 Non-Oriented Non-Radial Super-Efficiency Model; 4.3.4 Variable-Returns-to-Scale Models; 4.4 An Example of a Super-Efficiency Model; References; Chapter 5 Determining Returns to Scale in the VRS DEA Model; 5.1 Introduction; 5.2 Technology Specification and Scale Elasticity; 5.2.1 Technology; 5.2.2 Measure of Scale Elasticity; 5.2.3 Scale Elasticity in DEA Models; 5.3 Summary; References | ||
| 500 | |a Chapter 6 Malmquist Productivity Index Models6.1 Introduction; 6.2 Radial Malmquist Model; 6.3 Non-Radial and Oriented Malmquist Model; 6.4 Non-Radial and Non-Oriented Malmquist Model; 6.5 Cumulative Malmquist Index (CMI); 6.6 Adjusted Malmquist Index (AMI); 6.7 Numerical Example; 6.7.1 DMU A; 6.7.2 DMU B; 6.7.3 DMU C; 6.7.4 DMU D; 6.8 Concluding Remarks; References; Chapter 7 The Network DEA Model; 7.1 Introduction; 7.2 Notation and Production Possibility Set; 7.3 Description of Network Structure; 7.3.1 Inputs and Outputs; 7.3.2 Links; 7.4 Objective Functions and Efficiencies | ||
| 500 | |a 7.4.1 Input-Oriented Case7.4.2 Output-Oriented Case; 7.4.3 Non-Oriented Case; Reference; Chapter 8 The Dynamic DEA Model; 8.1 Introduction; 8.2 Notation and Production Possibility Set; 8.3 Description of Dynamic Structure; 8.3.1 Inputs and Outputs; 8.3.2 Carry-Overs; 8.4 Objective Functions and Efficiencies; 8.4.1 Input-Oriented Case; 8.4.2 Output-Oriented Case; 8.4.3 Non-Oriented Case; 8.5 Dynamic Malmquist Index; 8.5.1 Dynamic Catch-up Index; 8.5.2 Dynamic Frontier Shift Effect; 8.5.3 Dynamic Malmquist Index; 8.5.4 Dynamic Cumulative Malmquist Index; 8.5.5 Dynamic Adjusted Malmquist Index | ||
| 650 | 4 | |a BUSINESS & ECONOMICS / Industries / General | |
| 650 | 4 | |a Data envelopment analysis | |
| 650 | 4 | |a Industrie | |
| 650 | 4 | |a Wirtschaft | |
| 650 | 4 | |a Data envelopment analysis | |
| 700 | 1 | |a Tone, Kaoru |d 1931- |0 (DE-588)131954741 |4 edt | |
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Datensatz im Suchindex
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| author2 | Tone, Kaoru 1931- |
| author2_role | edt |
| author2_variant | k t kt |
| author_GND | (DE-588)131954741 |
| author_facet | Tone, Kaoru 1931- |
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| ctrlnum | (OCoLC)1011379328 (DE-599)BVBBV044548690 |
| dewey-full | 338.501/51972 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 338 - Production |
| dewey-raw | 338.501/51972 |
| dewey-search | 338.501/51972 |
| dewey-sort | 3338.501 551972 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| edition | First edition |
| format | Electronic eBook |
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| id | DE-604.BV044548690 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:55:36Z |
| institution | BVB |
| isbn | 9781118946688 9781118946695 9781118946701 |
| language | English |
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| publisher | John Wiley & Sons, Inc. |
| record_format | marc |
| series2 | Wiley series in operations research and management science |
| spelling | Advances in DEA theory and applications with extensions to forecasting models edited by Kaoru Tone, National Graduate Institute for Policy Studies, Japan First edition Hoboken, NJ John Wiley & Sons, Inc. 2017 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Wiley series in operations research and management science Includes bibliographical references and index Title Page ; Copyright Page ; Contents; List of Contributors; About the Authors; Preface; Part 1 DEA Theory ; Chapter 1 Radial DEA Models; 1.1 Introduction; 1.2 Basic Data; 1.3 Input-Oriented CCR Model; 1.3.1 The CRS Model; 1.4 The Input-Oriented BCC Model; 1.4.1 The VRS Model; 1.5 The Output-Oriented Model; 1.6 Assurance Region Method; 1.7 The Assumptions behind Radial Models; 1.8 A Sample Radial Model; References; Chapter 2 Non-Radial DEA Models; 2.1 Introduction; 2.2 The SBM Model; 2.2.1 Input-Oriented SBM; 2.2.2 Output-Oriented SBM; 2.2.3 Non-Oriented SBM; 2.3 An Example of an SBM Model 2.4 The Dual Program of the SBM Model2.5 Extensions of the SBM Model; 2.5.1 Variable-Returns-to-Scale (VRS) Model; 2.5.2 Weighted-SBM Model; 2.6 Concluding Remarks; References; Chapter 3 Directional Distance DEA Models; 3.1 Introduction; 3.2 Directional Distance Model; 3.3 Variable-Returns-to-Scale DD Models; 3.4 Slacks-Based DD Model; 3.5 Choice of Directional Vectors; References; Chapter 4 Super-Efficiency DEA Models; 4.1 Introduction; 4.2 Radial Super-Efficiency Models; 4.2.1 Input-Oriented Radial Super-Efficiency Model; 4.2.2 Output-Oriented Radial Super-Efficiency Model 4.2.3 Infeasibility Issues in the VRS Model4.3 Non-radial Super-Efficiency Models; 4.3.1 Input-Oriented Non-Radial Super-Efficiency Model; 4.3.2 Output-Oriented Non-Radial Super-Efficiency Model; 4.3.3 Non-Oriented Non-Radial Super-Efficiency Model; 4.3.4 Variable-Returns-to-Scale Models; 4.4 An Example of a Super-Efficiency Model; References; Chapter 5 Determining Returns to Scale in the VRS DEA Model; 5.1 Introduction; 5.2 Technology Specification and Scale Elasticity; 5.2.1 Technology; 5.2.2 Measure of Scale Elasticity; 5.2.3 Scale Elasticity in DEA Models; 5.3 Summary; References Chapter 6 Malmquist Productivity Index Models6.1 Introduction; 6.2 Radial Malmquist Model; 6.3 Non-Radial and Oriented Malmquist Model; 6.4 Non-Radial and Non-Oriented Malmquist Model; 6.5 Cumulative Malmquist Index (CMI); 6.6 Adjusted Malmquist Index (AMI); 6.7 Numerical Example; 6.7.1 DMU A; 6.7.2 DMU B; 6.7.3 DMU C; 6.7.4 DMU D; 6.8 Concluding Remarks; References; Chapter 7 The Network DEA Model; 7.1 Introduction; 7.2 Notation and Production Possibility Set; 7.3 Description of Network Structure; 7.3.1 Inputs and Outputs; 7.3.2 Links; 7.4 Objective Functions and Efficiencies 7.4.1 Input-Oriented Case7.4.2 Output-Oriented Case; 7.4.3 Non-Oriented Case; Reference; Chapter 8 The Dynamic DEA Model; 8.1 Introduction; 8.2 Notation and Production Possibility Set; 8.3 Description of Dynamic Structure; 8.3.1 Inputs and Outputs; 8.3.2 Carry-Overs; 8.4 Objective Functions and Efficiencies; 8.4.1 Input-Oriented Case; 8.4.2 Output-Oriented Case; 8.4.3 Non-Oriented Case; 8.5 Dynamic Malmquist Index; 8.5.1 Dynamic Catch-up Index; 8.5.2 Dynamic Frontier Shift Effect; 8.5.3 Dynamic Malmquist Index; 8.5.4 Dynamic Cumulative Malmquist Index; 8.5.5 Dynamic Adjusted Malmquist Index BUSINESS & ECONOMICS / Industries / General Data envelopment analysis Industrie Wirtschaft Tone, Kaoru 1931- (DE-588)131954741 edt Erscheint auch als Druck-Ausgabe 9781118945629 https://onlinelibrary.wiley.com/doi/book/10.1002/9781118946688 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Advances in DEA theory and applications with extensions to forecasting models BUSINESS & ECONOMICS / Industries / General Data envelopment analysis Industrie Wirtschaft |
| title | Advances in DEA theory and applications with extensions to forecasting models |
| title_auth | Advances in DEA theory and applications with extensions to forecasting models |
| title_exact_search | Advances in DEA theory and applications with extensions to forecasting models |
| title_full | Advances in DEA theory and applications with extensions to forecasting models edited by Kaoru Tone, National Graduate Institute for Policy Studies, Japan |
| title_fullStr | Advances in DEA theory and applications with extensions to forecasting models edited by Kaoru Tone, National Graduate Institute for Policy Studies, Japan |
| title_full_unstemmed | Advances in DEA theory and applications with extensions to forecasting models edited by Kaoru Tone, National Graduate Institute for Policy Studies, Japan |
| title_short | Advances in DEA theory and applications |
| title_sort | advances in dea theory and applications with extensions to forecasting models |
| title_sub | with extensions to forecasting models |
| topic | BUSINESS & ECONOMICS / Industries / General Data envelopment analysis Industrie Wirtschaft |
| topic_facet | BUSINESS & ECONOMICS / Industries / General Data envelopment analysis Industrie Wirtschaft |
| url | https://onlinelibrary.wiley.com/doi/book/10.1002/9781118946688 |
| work_keys_str_mv | AT tonekaoru advancesindeatheoryandapplicationswithextensionstoforecastingmodels |