Wykrywanie funkcjonalnych obserwacji odstających na przykładzie monitorowania jakości powietrza
Functional Outliers Detection by the Example of Air Quality Monitoring
Author(s): Daniel Kosiorowski, Jerzy Rydlewski, Zygmunt ZawadzkiSubject(s): Economy, Energy and Environmental Studies
Published by: Główny Urząd Statystyczny
Keywords: functional outliers; functional outliers detection; robust statistics; functional depth; air pollution analysis
Summary/Abstract: Methods of functional outliers detection in functional setting have been discussed, i.e. shape outliers and magnitude outliers. Outliergram has been discussed, a tool for functional shape outliers detection. Robust adjusted functional boxplot has been discussed as well, a tool for functional magnitude outliers detection. „The elements of functional outliers analysis have been applied to air pollution data for Katowice and Kraków.”
Journal: Przegląd Statystyczny. Statistical Review
- Issue Year: 65/2018
- Issue No: 1
- Page Range: 83-100
- Page Count: 18
- Language: Polish