Authors: Bauer, Marcus
Gather, Ursula
Imhoff, Michael
Title: The Identification of Multiple Outliers in Online Monitoring Data
Language (ISO): en
Abstract: 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 transfered into the context of time series which is done here. Some applications to online monitoring data from intensive care are given.
Subject Headings: multivariate sample
online monitoring
outlier identification
phase space reconstruction
process control
time series
Issue Date: 1999
Provenance: Universitätsbibliothek Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 475

Files in This Item:
File Description SizeFormat 
99_29.pdfDNB519.28 kBAdobe PDFView/Open
tr29-99.ps1.4 MBPostscriptView/Open

This item is protected by original copyright

All resources in the repository are protected by copyright.