New Statistical Robust Estimators, Open Problems

G Zioutas, C Chatzinakos, A Migdalas - Open Problems in Optimization …, 2018 - Springer
The goal of robust statistics is to develop methods that are robust against outliers in the data.
We emphasize on high breakdown estimators, which can deal with heavy contamination in …

New Statistical Robust Estimators, Open Problems

G Zioutas, C Chatzinakos, A Migdalas - 2018 - diva-portal.org
Computational and theoretical open problems in optimization, computational geometry, data
science, logistics, statistics, supply chain modeling, and data analysis are examined in this …

New Statistical Robust Estimators, Open Problems

G Zioutas, C Chatzinakos, A Migdalas - 2018 - econpapers.repec.org
The goal of robust statistics is to develop methods that are robust against outliers in the data.
We emphasize on high breakdown estimators, which can deal with heavy contamination in …

New Statistical Robust Estimators, Open Problems

G Zioutas, C Chatzinakos, A Migdalas - 2018 - Springer
The goal of robust statistics is to develop methods that are robust against outliers in the data.
We emphasize on high breakdown estimators, which can deal with heavy contamination in …

New Statistical Robust Estimators, Open Problems

G Zioutas, C Chatzinakos… - Open Problems in …, 2018 - books.google.com
The goal of robust statistics is to develop methods that are robust against outliers in the data.
We emphasize on high breakdown estimators, which can deal with heavy contamination in …

New Statistical Robust Estimators, Open Problems

G Zioutas, C Chatzinakos, A Migdalas - Springer Optimization and …, 2018 - ideas.repec.org
The goal of robust statistics is to develop methods that are robust against outliers in the data.
We emphasize on high breakdown estimators, which can deal with heavy contamination in …