1 resultado para Aigües residuals -- Depuració -- Tractament biològic
em University of Connecticut - USA
Filtro por publicador
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (4)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (3)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Aquatic Commons (9)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (3)
- Aston University Research Archive (10)
- Biblioteca de Teses e Dissertações da USP (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (8)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (11)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (3)
- Biblioteca Valenciana Digital - Ministerio de Educación, Cultura y Deporte - Valencia - Espanha (15)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (23)
- Boston University Digital Common (4)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- CaltechTHESIS (6)
- CentAUR: Central Archive University of Reading - UK (25)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (4)
- Collection Of Biostatistics Research Archive (6)
- Dalarna University College Electronic Archive (6)
- Deakin Research Online - Australia (18)
- Digital Commons - Michigan Tech (1)
- Digital Commons at Florida International University (2)
- DigitalCommons@The Texas Medical Center (4)
- Duke University (3)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (4)
- FUNDAJ - Fundação Joaquim Nabuco (2)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (5)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (1)
- Helda - Digital Repository of University of Helsinki (3)
- Indian Institute of Science - Bangalore - Índia (11)
- Instituto Politécnico de Viseu (1)
- Massachusetts Institute of Technology (2)
- Ministerio de Cultura, Spain (111)
- National Center for Biotechnology Information - NCBI (1)
- Nottingham eTheses (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- Portal de Revistas Científicas Complutenses - Espanha (1)
- Publishing Network for Geoscientific & Environmental Data (19)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (18)
- Queensland University of Technology - ePrints Archive (23)
- Repositorio Académico de la Universidad Nacional de Costa Rica (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (2)
- Repositório digital da Fundação Getúlio Vargas - FGV (10)
- Repositorio Institucional da UFLA (RIUFLA) (1)
- Repositorio Institucional de la Universidad Nacional Agraria (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (59)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (1)
- Universidad de Alicante (7)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (10)
- Universidade Complutense de Madrid (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (5)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (160)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Montréal (2)
- Université de Montréal, Canada (19)
- University of Connecticut - USA (1)
- University of Michigan (4)
- University of Queensland eSpace - Australia (9)
- University of Washington (3)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
The Data Envelopment Analysis (DEA) efficiency score obtained for an individual firm is a point estimate without any confidence interval around it. In recent years, researchers have resorted to bootstrapping in order to generate empirical distributions of efficiency scores. This procedure assumes that all firms have the same probability of getting an efficiency score from any specified interval within the [0,1] range. We propose a bootstrap procedure that empirically generates the conditional distribution of efficiency for each individual firm given systematic factors that influence its efficiency. Instead of resampling directly from the pooled DEA scores, we first regress these scores on a set of explanatory variables not included at the DEA stage and bootstrap the residuals from this regression. These pseudo-efficiency scores incorporate the systematic effects of unit-specific factors along with the contribution of the randomly drawn residual. Data from the U.S. airline industry are utilized in an empirical application.