1 resultado para Statistical Estimation
em DI-fusion - The institutional repository of Université Libre de Bruxelles
Filtro por publicador
- Aberystwyth University Repository - Reino Unido (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (3)
- Aquatic Commons (5)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (3)
- Aston University Research Archive (8)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (4)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (18)
- Boston University Digital Common (1)
- Brock University, Canada (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (5)
- CaltechTHESIS (2)
- Cambridge University Engineering Department Publications Database (13)
- CentAUR: Central Archive University of Reading - UK (22)
- Central European University - Research Support Scheme (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (2)
- Cochin University of Science & Technology (CUSAT), India (3)
- Collection Of Biostatistics Research Archive (13)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- Dalarna University College Electronic Archive (4)
- Deakin Research Online - Australia (10)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (1)
- Digital Commons - Michigan Tech (1)
- Digital Commons - Montana Tech (1)
- Digital Commons at Florida International University (2)
- DigitalCommons@The Texas Medical Center (8)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (2)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (2)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (15)
- Glasgow Theses Service (2)
- Greenwich Academic Literature Archive - UK (2)
- Helda - Digital Repository of University of Helsinki (45)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (2)
- Indian Institute of Science - Bangalore - Índia (210)
- Massachusetts Institute of Technology (5)
- National Center for Biotechnology Information - NCBI (4)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (2)
- Publishing Network for Geoscientific & Environmental Data (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (4)
- Queensland University of Technology - ePrints Archive (477)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (2)
- Repositorio Academico Digital UANL (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (6)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (12)
- Repositorio Institucional Universidad de Medellín (1)
- SAPIENTIA - Universidade do Algarve - Portugal (3)
- The Scholarly Commons | School of Hotel Administration; Cornell University Research (1)
- Universidad de Alicante (1)
- Universidad Politécnica de Madrid (9)
- Universidade Complutense de Madrid (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Lausanne, Switzerland (1)
- Université de Montréal, Canada (4)
- University of Michigan (3)
- University of Queensland eSpace - Australia (7)
- University of Washington (3)
Resumo:
Static state estimators currently in use in power systems are prone to masking by multiple bad data. This is mainly because the power system regression model contains many leverage points; typically they have a cluster pattern. As reported recently in the statistical literature, only high breakdown point estimators are robust enough to cope with gross errors corrupting such a model. This paper deals with one such estimator, the least median of squares estimator, developed by Rousseeuw in 1984. The robustness of this method is assessed while applying it to power systems. Resampling methods are developed, and simulation results for IEEE test systems discussed. © 1991 IEEE.