Arbeitspapier
The identification of multiple outliers in online monitoring data
We present a robust graphical procedure for routine detection of isolated and patchy outliers in univariate time series. This procedure is suitable for retrospective as well as for online identification of outliers. It is based on a phase space reconstruction of the time series which allows to regard the time series as a multivariate sample with identically distributed but non independent observations. Thus, multivariate outlier identifiers can be transferred into the context of time series which is done here. Some applications to online monitoring data from intensive care are given.
- Language
-
Englisch
- Bibliographic citation
-
Series: Technical Report ; No. 1999,29
- Subject
-
Multivariate sample
online monitoring
outlier identification
phase space reconstruction
process control
time series
- Event
-
Geistige Schöpfung
- (who)
-
Bauer, Marcus
Gather, Ursula
Imhoff, Michael
- Event
-
Veröffentlichung
- (who)
-
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
- (where)
-
Dortmund
- (when)
-
1999
- Handle
- Last update
- 10.03.2025, 11:43 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Bauer, Marcus
- Gather, Ursula
- Imhoff, Michael
- Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
Time of origin
- 1999
Other Objects (12)
The Identification of Multiple Outliers in Online Monitoring Data
The identification of outliers in exponential samples
The identification of outliers in exponential samples
Production ML Monitoring: Outliers, Drift, Explainers & Statistical Performance
Production Machine Learning Monitoring: Outliers, Drift, Explainers & Statistical Performance
Identification of outliers in exponential samples with stepwise procedures
Identification of outliers in exponential samples with stepwise procedures
Identification of outliers in a one-way random effects model
Identification of asymmetric conditional heteroscedasticity in the presence of outliers
Identification of asymmetric conditional heteroscedasticity in the presence of outliers
Identification of Outliers in a One-Way Random Effects Model
The Outliers of HTML5
The Identification of Multiple Outliers in Online Monitoring Data
The identification of outliers in exponential samples
The identification of outliers in exponential samples
Production ML Monitoring: Outliers, Drift, Explainers & Statistical Performance
Production Machine Learning Monitoring: Outliers, Drift, Explainers & Statistical Performance
Identification of outliers in exponential samples with stepwise procedures
Identification of outliers in exponential samples with stepwise procedures
Identification of outliers in a one-way random effects model
Identification of asymmetric conditional heteroscedasticity in the presence of outliers
Identification of asymmetric conditional heteroscedasticity in the presence of outliers
Identification of Outliers in a One-Way Random Effects Model
The Outliers of HTML5
The Identification of Multiple Outliers in Online Monitoring Data
The identification of outliers in exponential samples
The identification of outliers in exponential samples
Production ML Monitoring: Outliers, Drift, Explainers & Statistical Performance
Production Machine Learning Monitoring: Outliers, Drift, Explainers & Statistical Performance
Identification of outliers in exponential samples with stepwise procedures
Identification of outliers in exponential samples with stepwise procedures
Identification of outliers in a one-way random effects model
Identification of asymmetric conditional heteroscedasticity in the presence of outliers
Identification of asymmetric conditional heteroscedasticity in the presence of outliers
Identification of Outliers in a One-Way Random Effects Model