Functional Outliers Detection by the Example of Air Quality Monitoring Cover Image

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 Zawadzki
Subject(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.”

  • Issue Year: 65/2018
  • Issue No: 1
  • Page Range: 83-100
  • Page Count: 18
  • Language: Polish