LEADER 05019nam 22006375 450 001 9910734827403321 005 20230810181604.0 010 $a9783031295836 010 $a3031295838 024 7 $a10.1007/978-3-031-29583-6 035 $a(MiAaPQ)EBC30604832 035 $a(Au-PeEL)EBL30604832 035 $a(DE-He213)978-3-031-29583-6 035 $a(CKB)27152774300041 035 $a(OCoLC)1385455659 035 $a(EXLCZ)9927152774300041 100 $a20230621d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Mathematical Methods for Economic Efficiency Analysis $eTheory and Empirical Applications /$fedited by Pedro Macedo, Victor Moutinho, Mara Madaleno 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (267 pages) 225 1 $aLecture Notes in Economics and Mathematical Systems,$x2196-9957 ;$v692 311 08$aPrint version: Macedo, Pedro Advanced Mathematical Methods for Economic Efficiency Analysis Cham : Springer International Publishing AG,c2023 9783031295829 327 $aChapter 1. Introduction -- Part I -- Chapter 2. Production Economics and Economic Efficiency (Mónica Meireles) -- Chapter 3. Data Envelopment Analysis: A Review and Synthesis (Ana S. Camanho) -- Chapter 4. Stochastic Frontier Analysis: A Review and Synthesis (Mara Madaleno) -- Part II -- Chapter 5. Combining Directional Distances and ELECTRE Multicriteria Decision Analysis for Preferable Assessments of Efficiency (Thyago Nepomuceno) -- Chapter 6. Benefit-of-the-Doubt Composite Indicators and use of Weight Restrictions (Ana S. Camanho) -- Chapter 7. Multidirectional Dynamic Inefficiency Analysis: An Extension to Include Corporate Social Responsibility (Magdalena Kapelko) -- Chapter 8. Stochastic DEA (Samah Jradi) -- Chapter 9. Internal Benchmarking for Efficiency Evaluations using Data Envelopment Analysis: A Review of Applications and Directions for Future Research (Fabio Sartori Piran) -- Part III -- Chapter 10. Recent Advances in the Construction of Nonparametric Stochastic Frontier Models (Christopher F. Parmeter) -- Chapter 11. A Hierarchical Panel Data Model for the Estimation of Stochastic Metafrontiers: Computational Issues and an Empirical Application (Christine Amsler) -- Chapter 12. Robustness in Stochastic Frontier Analysis (Alexander D. Stead) -- Chapter 13. Is it MOLS or COLS? (Christopher F. Parmeter) -- Chapter 14. Stochastic Frontier Analysis with Maximum Entropy Estimation (Pedro Macedo). 330 $aEconomic efficiency analysis has received considerable worldwide attention in the last few decades, with Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA) establishing themselves as the two dominant approaches in the literature. This book, by combining cutting-edge theoretical research on DEA and SFA with attractive real-world applications, offers a valuable asset for professors, students, researchers, and professionals working in all branches of economic efficiency analysis, as well as those concerned with the corresponding economic policies. The book is divided into three parts, the first of which is devoted to basic concepts, making the content self-contained. The second is devoted to DEA, and the third to SFA. The topics covered in Part 2 range from stochastic DEA to multidirectional dynamic inefficiency analysis, including directional distance functions, the elimination and choice translating algorithm, benefit-of-the-doubt composite indicators, and internal benchmarking for efficiency evaluations. Part 3 also includes exciting and cutting-edge theoretical research on e.g. robustness, nonparametric stochastic frontier models, hierarchical panel data models, and estimation methods like corrected ordinary least squares and maximum entropy. 410 0$aLecture Notes in Economics and Mathematical Systems,$x2196-9957 ;$v692 606 $aEconometrics 606 $aSocial sciences$xMathematics 606 $aPower resources 606 $aEnvironmental economics 606 $aQuantitative Economics 606 $aMathematics in Business, Economics and Finance 606 $aResource and Environmental Economics 615 0$aEconometrics. 615 0$aSocial sciences$xMathematics. 615 0$aPower resources. 615 0$aEnvironmental economics. 615 14$aQuantitative Economics. 615 24$aMathematics in Business, Economics and Finance. 615 24$aResource and Environmental Economics. 676 $a330.0151 700 $aMacedo$b Pedro$01373281 701 $aMoutinho$b Victor$01373282 701 $aMadaleno$b Mara$01373283 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910734827403321 996 $aAdvanced Mathematical Methods for Economic Efficiency Analysis$93404408 997 $aUNINA LEADER 02091nam 2200469z- 450 001 9910557482803321 005 20211118 035 $a(CKB)5400000000043004 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/72951 035 $a(oapen)doab72951 035 $a(EXLCZ)995400000000043004 100 $a20202111d2019 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aFrom Biology to Clinical Management: An Update on Aortic Valve Disease 210 $cFrontiers Media SA$d2019 215 $a1 online resource (58 p.) 311 08$a2-88945-786-9 330 $aThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact 517 $aFrom Biology to Clinical Management 606 $aMedicine$2bicssc 610 $abiomarkers 610 $aCalcific aortic valve stenosis 610 $aclinical imaging 610 $aclinical management 610 $aheart valve biology 610 $aprosthetic valves 610 $athrombosis 615 7$aMedicine 700 $aOury$b Cécile$4edt$01281296 702 $aNchimi$b  Alain$4edt 702 $aLancellotti$b  Patrizio$4edt 702 $aOury$b Cécile$4oth 702 $aNchimi$b  Alain$4oth 702 $aLancellotti$b  Patrizio$4oth 906 $aBOOK 912 $a9910557482803321 996 $aFrom Biology to Clinical Management: An Update on Aortic Valve Disease$93018510 997 $aUNINA