Advances in data envelopment analysis /:
"Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with technology which, in turn, is important in identifying technical change, or finding which types of DEA models allow data transformations, including dealing...
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Hauptverfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New Jersey :
World Scientific,
[2015]
|
Schriftenreihe: | World Scientific--Now Publishers series in business ;
v. 8. |
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | "Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with technology which, in turn, is important in identifying technical change, or finding which types of DEA models allow data transformations, including dealing with ordinal data. Advances in Data Envelopment Analysis focuses on both theoretical developments and their applications into the measurement of productive efficiency and productivity growth, such as its application to the modelling of time substitution, i.e. the problem of how to allocate resources over time, and estimating the "value" of a Decision Making Unit (DMU)"-- |
Beschreibung: | 1 online resource |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 9789814644556 9814644552 |
ISSN: | 2251-3442 ; |
Internformat
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100 | 1 | |a Färe, Rolf, |d 1942- |e author. |0 http://id.loc.gov/authorities/names/n80004989 | |
245 | 1 | 0 | |a Advances in data envelopment analysis / |c Rolf Färe, Oregon State University, USA, Shawna Grosskopf, Oregon State University, USA, Dimitris Margaritis, University of Auckland, New Zealand. |
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490 | 1 | |a World Scientific-Now Publishers series in business, |x 2251-3442 ; |v v. 8 | |
504 | |a Includes bibliographical references and index. | ||
588 | 0 | |a Print version record. | |
505 | 0 | |a ""Contents""; ""Acknowledgements""; ""Preface""; ""Chapter 1 Introduction""; ""1.1 The DEA Technology and Its Representation""; ""1.2 (Axiomatic) Properties of the DEA Model""; ""1.3 Appendix""; ""Chapter 2 Looking at the Data in DEA""; ""2.1 Data Diagnostics""; ""2.2 Technical Change""; ""2.3 Data Translation""; ""2.4 Appendix:Distance Functions""; ""Chapter 3 DEA and Intensity Variables""; ""3.1 On Shephard�s Duality Theory""; ""3.2 Adjoint Transformations in DEA""; ""3.3 The Diet Problem""; ""3.4 Pricing Decision Making Units""; ""Chapter 4 DEA and Directional Distance Functions"" | |
505 | 8 | |a 4.1 Directional Vectors4.2 Aggregation and Directional Vectors -- 4.3 Endogenizing the Directional Vector -- 4.4 Appendix -- Chapter 5 DEA and Time Substitution -- 5.1 Theoretical Underpinning -- 5.2 Reassessing the EU Stability and Growth Pact -- 5.3 Method -- Chapter 6 Some Limitations of Two DEA Models -- 6.1 The Non-Archimedean and DEA -- 6.2 Super-Efficiency and Zeros -- References -- Index | |
520 | |a "Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with technology which, in turn, is important in identifying technical change, or finding which types of DEA models allow data transformations, including dealing with ordinal data. Advances in Data Envelopment Analysis focuses on both theoretical developments and their applications into the measurement of productive efficiency and productivity growth, such as its application to the modelling of time substitution, i.e. the problem of how to allocate resources over time, and estimating the "value" of a Decision Making Unit (DMU)"-- |c Provided by publisher | ||
650 | 0 | |a Data envelopment analysis. |0 http://id.loc.gov/authorities/subjects/sh94003984 | |
650 | 0 | |a Industrial efficiency |x Mathematical models. | |
650 | 0 | |a Industrial productivity |x Mathematical models. | |
650 | 6 | |a Data envelopment analysis. | |
650 | 6 | |a Efficience dans l'industrie |x Modèles mathématiques. | |
650 | 6 | |a Productivité |x Modèles mathématiques. | |
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650 | 7 | |a Industrial efficiency |x Mathematical models |2 fast | |
650 | 7 | |a Industrial productivity |x Mathematical models |2 fast | |
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700 | 1 | |a Margaritis, Dimitris, |e author. | |
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author | Färe, Rolf, 1942- Grosskopf, Shawna Margaritis, Dimitris |
author_GND | http://id.loc.gov/authorities/names/n80004989 |
author_facet | Färe, Rolf, 1942- Grosskopf, Shawna Margaritis, Dimitris |
author_role | aut aut aut |
author_sort | Färe, Rolf, 1942- |
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contents | ""Contents""; ""Acknowledgements""; ""Preface""; ""Chapter 1 Introduction""; ""1.1 The DEA Technology and Its Representation""; ""1.2 (Axiomatic) Properties of the DEA Model""; ""1.3 Appendix""; ""Chapter 2 Looking at the Data in DEA""; ""2.1 Data Diagnostics""; ""2.2 Technical Change""; ""2.3 Data Translation""; ""2.4 Appendix:Distance Functions""; ""Chapter 3 DEA and Intensity Variables""; ""3.1 On Shephard�s Duality Theory""; ""3.2 Adjoint Transformations in DEA""; ""3.3 The Diet Problem""; ""3.4 Pricing Decision Making Units""; ""Chapter 4 DEA and Directional Distance Functions"" 4.1 Directional Vectors4.2 Aggregation and Directional Vectors -- 4.3 Endogenizing the Directional Vector -- 4.4 Appendix -- Chapter 5 DEA and Time Substitution -- 5.1 Theoretical Underpinning -- 5.2 Reassessing the EU Stability and Growth Pact -- 5.3 Method -- Chapter 6 Some Limitations of Two DEA Models -- 6.1 The Non-Archimedean and DEA -- 6.2 Super-Efficiency and Zeros -- References -- Index |
ctrlnum | (OCoLC)907289711 |
dewey-full | 338.501/51972 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 338 - Production |
dewey-raw | 338.501/51972 |
dewey-search | 338.501/51972 |
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dewey-tens | 330 - Economics |
discipline | Wirtschaftswissenschaften |
format | Electronic eBook |
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spelling | Färe, Rolf, 1942- author. http://id.loc.gov/authorities/names/n80004989 Advances in data envelopment analysis / Rolf Färe, Oregon State University, USA, Shawna Grosskopf, Oregon State University, USA, Dimitris Margaritis, University of Auckland, New Zealand. New Jersey : World Scientific, [2015] ©2015 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier World Scientific-Now Publishers series in business, 2251-3442 ; v. 8 Includes bibliographical references and index. Print version record. ""Contents""; ""Acknowledgements""; ""Preface""; ""Chapter 1 Introduction""; ""1.1 The DEA Technology and Its Representation""; ""1.2 (Axiomatic) Properties of the DEA Model""; ""1.3 Appendix""; ""Chapter 2 Looking at the Data in DEA""; ""2.1 Data Diagnostics""; ""2.2 Technical Change""; ""2.3 Data Translation""; ""2.4 Appendix:Distance Functions""; ""Chapter 3 DEA and Intensity Variables""; ""3.1 On Shephardâ€?s Duality Theory""; ""3.2 Adjoint Transformations in DEA""; ""3.3 The Diet Problem""; ""3.4 Pricing Decision Making Units""; ""Chapter 4 DEA and Directional Distance Functions"" 4.1 Directional Vectors4.2 Aggregation and Directional Vectors -- 4.3 Endogenizing the Directional Vector -- 4.4 Appendix -- Chapter 5 DEA and Time Substitution -- 5.1 Theoretical Underpinning -- 5.2 Reassessing the EU Stability and Growth Pact -- 5.3 Method -- Chapter 6 Some Limitations of Two DEA Models -- 6.1 The Non-Archimedean and DEA -- 6.2 Super-Efficiency and Zeros -- References -- Index "Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with technology which, in turn, is important in identifying technical change, or finding which types of DEA models allow data transformations, including dealing with ordinal data. Advances in Data Envelopment Analysis focuses on both theoretical developments and their applications into the measurement of productive efficiency and productivity growth, such as its application to the modelling of time substitution, i.e. the problem of how to allocate resources over time, and estimating the "value" of a Decision Making Unit (DMU)"-- Provided by publisher Data envelopment analysis. http://id.loc.gov/authorities/subjects/sh94003984 Industrial efficiency Mathematical models. Industrial productivity Mathematical models. Data envelopment analysis. Efficience dans l'industrie Modèles mathématiques. Productivité Modèles mathématiques. BUSINESS & ECONOMICS Industries General. bisacsh Data envelopment analysis fast Industrial efficiency Mathematical models fast Industrial productivity Mathematical models fast Grosskopf, Shawna, author. Margaritis, Dimitris, author. has work: Advances in data envelopment analysis (Work) https://id.oclc.org/worldcat/entity/E39PCFBWM4qjhJWWxKBvPhgTjK https://id.oclc.org/worldcat/ontology/hasWork Print version: Färe, Rolf, 1942- Advances in data envelopment analysis 9789814644549 (DLC) 2014048340 (OCoLC)898167697 World Scientific--Now Publishers series in business ; v. 8. 2251-3442 http://id.loc.gov/authorities/names/no2012155547 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=978109 Volltext |
spellingShingle | Färe, Rolf, 1942- Grosskopf, Shawna Margaritis, Dimitris Advances in data envelopment analysis / World Scientific--Now Publishers series in business ; ""Contents""; ""Acknowledgements""; ""Preface""; ""Chapter 1 Introduction""; ""1.1 The DEA Technology and Its Representation""; ""1.2 (Axiomatic) Properties of the DEA Model""; ""1.3 Appendix""; ""Chapter 2 Looking at the Data in DEA""; ""2.1 Data Diagnostics""; ""2.2 Technical Change""; ""2.3 Data Translation""; ""2.4 Appendix:Distance Functions""; ""Chapter 3 DEA and Intensity Variables""; ""3.1 On Shephardâ€?s Duality Theory""; ""3.2 Adjoint Transformations in DEA""; ""3.3 The Diet Problem""; ""3.4 Pricing Decision Making Units""; ""Chapter 4 DEA and Directional Distance Functions"" 4.1 Directional Vectors4.2 Aggregation and Directional Vectors -- 4.3 Endogenizing the Directional Vector -- 4.4 Appendix -- Chapter 5 DEA and Time Substitution -- 5.1 Theoretical Underpinning -- 5.2 Reassessing the EU Stability and Growth Pact -- 5.3 Method -- Chapter 6 Some Limitations of Two DEA Models -- 6.1 The Non-Archimedean and DEA -- 6.2 Super-Efficiency and Zeros -- References -- Index Data envelopment analysis. http://id.loc.gov/authorities/subjects/sh94003984 Industrial efficiency Mathematical models. Industrial productivity Mathematical models. Data envelopment analysis. Efficience dans l'industrie Modèles mathématiques. Productivité Modèles mathématiques. BUSINESS & ECONOMICS Industries General. bisacsh Data envelopment analysis fast Industrial efficiency Mathematical models fast Industrial productivity Mathematical models fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh94003984 |
title | Advances in data envelopment analysis / |
title_auth | Advances in data envelopment analysis / |
title_exact_search | Advances in data envelopment analysis / |
title_full | Advances in data envelopment analysis / Rolf Färe, Oregon State University, USA, Shawna Grosskopf, Oregon State University, USA, Dimitris Margaritis, University of Auckland, New Zealand. |
title_fullStr | Advances in data envelopment analysis / Rolf Färe, Oregon State University, USA, Shawna Grosskopf, Oregon State University, USA, Dimitris Margaritis, University of Auckland, New Zealand. |
title_full_unstemmed | Advances in data envelopment analysis / Rolf Färe, Oregon State University, USA, Shawna Grosskopf, Oregon State University, USA, Dimitris Margaritis, University of Auckland, New Zealand. |
title_short | Advances in data envelopment analysis / |
title_sort | advances in data envelopment analysis |
topic | Data envelopment analysis. http://id.loc.gov/authorities/subjects/sh94003984 Industrial efficiency Mathematical models. Industrial productivity Mathematical models. Data envelopment analysis. Efficience dans l'industrie Modèles mathématiques. Productivité Modèles mathématiques. BUSINESS & ECONOMICS Industries General. bisacsh Data envelopment analysis fast Industrial efficiency Mathematical models fast Industrial productivity Mathematical models fast |
topic_facet | Data envelopment analysis. Industrial efficiency Mathematical models. Industrial productivity Mathematical models. Efficience dans l'industrie Modèles mathématiques. Productivité Modèles mathématiques. BUSINESS & ECONOMICS Industries General. Data envelopment analysis Industrial efficiency Mathematical models Industrial productivity Mathematical models |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=978109 |
work_keys_str_mv | AT farerolf advancesindataenvelopmentanalysis AT grosskopfshawna advancesindataenvelopmentanalysis AT margaritisdimitris advancesindataenvelopmentanalysis |