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Advanced Mathematical Methods for Economic Efficiency Analysis: Theory and Empirical Applications
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Advanced Mathematical Methods for Economic Efficiency Analysis : Theory and Empirical Applications
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Advanced Mathematical Methods for Economic Efficiency Analysis : Theory and Empirical Applications
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Advanced Mathematical Methods for Economic Efficiency Analysis Theory and Empirical Applications
Published by Springer International Publishing AG, 2023
ISBN 10: 303129582X ISBN 13: 9783031295829
Language: English
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Advanced Mathematical Methods for Economic Efficiency Analysis: Theory and Empirical Applications (Lecture Notes in Economics and Mathematical Systems)
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Advanced Mathematical Methods for Economic Efficiency Analysis
Published by Springer International Publishing, Springer International Publishing Jun 2023, 2023
ISBN 10: 303129582X ISBN 13: 9783031295829
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -Economic efficiency analysis has received considerable worldwide attention in the last few decades, with Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA) establishing themselves as the two dominant approaches in the literature. This book, by combining cutting-edge theoretical research on DEA and SFA with attractive real-world applications, offers a valuable asset for professors, students, researchers, and professionals working in all branches of economic efficiency analysis, as well as those concerned with the corresponding economic policies.The book is divided into three parts, the first of which is devoted to basic concepts, making the content self-contained. The second is devoted to DEA, and the third to SFA. The topics covered in Part 2 range from stochastic DEA to multidirectional dynamic inefficiency analysis, including directional distance functions, the elimination and choice translating algorithm, benefit-of-the-doubt composite indicators,and internal benchmarking for efficiency evaluations. Part 3 also includes exciting and cutting-edge theoretical research on e.g. robustness, nonparametric stochastic frontier models, hierarchical panel data models, and estimation methods like corrected ordinary least squares and maximum entropy.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 276 pp. Englisch.
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Advanced Mathematical Methods for Economic Efficiency Analysis : Theory and Empirical Applications
Published by Springer International Publishing, 2023
ISBN 10: 303129582X ISBN 13: 9783031295829
Language: English
£ 105.40
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Economic efficiency analysis has received considerable worldwide attention in the last few decades, with Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA) establishing themselves as the two dominant approaches in the literature. This book, by combining cutting-edge theoretical research on DEA and SFA with attractive real-world applications, offers a valuable asset for professors, students, researchers, and professionals working in all branches of economic efficiency analysis, as well as those concerned with the corresponding economic policies. The book is divided into three parts, the first of which is devoted to basic concepts, making the content self-contained. The second is devoted to DEA, and the third to SFA. The topics covered in Part 2 range from stochastic DEA to multidirectional dynamic inefficiency analysis, including directional distance functions, the elimination and choice translating algorithm, benefit-of-the-doubt composite indicators,and internal benchmarking for efficiency evaluations. Part 3 also includes exciting and cutting-edge theoretical research on e.g. robustness, nonparametric stochastic frontier models, hierarchical panel data models, and estimation methods like corrected ordinary least squares and maximum entropy.
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Add to basketPaperback. Condition: Brand New. 274 pages. 9.25x6.10x0.58 inches. In Stock.
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Advanced Mathematical Methods for Economic Efficiency Analysis
Published by Springer International Publishing Jun 2023, 2023
ISBN 10: 303129582X ISBN 13: 9783031295829
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Economic efficiency analysis has received considerable worldwide attention in the last few decades, with Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA) establishing themselves as the two dominant approaches in the literature. This book, by combining cutting-edge theoretical research on DEA and SFA with attractive real-world applications, offers a valuable asset for professors, students, researchers, and professionals working in all branches of economic efficiency analysis, as well as those concerned with the corresponding economic policies. The book is divided into three parts, the first of which is devoted to basic concepts, making the content self-contained. The second is devoted to DEA, and the third to SFA. The topics covered in Part 2 range from stochastic DEA to multidirectional dynamic inefficiency analysis, including directional distance functions, the elimination and choice translating algorithm, benefit-of-the-doubt composite indicators,and internal benchmarking for efficiency evaluations. Part 3 also includes exciting and cutting-edge theoretical research on e.g. robustness, nonparametric stochastic frontier models, hierarchical panel data models, and estimation methods like corrected ordinary least squares and maximum entropy. 276 pp. Englisch.
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Advanced Mathematical Methods for Economic Efficiency Analysis
Published by Springer International Publishing, 2023
ISBN 10: 303129582X ISBN 13: 9783031295829
Language: English
£ 90.49
Convert currency£ 42.60 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents the latest research on economic efficiency analysisDemonstrates cutting-edge theoretical research using both stochastic frontier analysis and data envelopment analysisOffers attractive real-world applications in areas such as energ.
