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 |
URI: | http://hdl.handle.net/2003/4965 http://dx.doi.org/10.17877/DE290R-5419 |
Issue Date: | 1999 |
Provenance: | Universitätsbibliothek Dortmund |
Appears in Collections: | Sonderforschungsbereich (SFB) 475 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
99_29.pdf | DNB | 519.28 kB | Adobe PDF | View/Open |
tr29-99.ps | 1.4 MB | Postscript | View/Open |
This item is protected by original copyright |
This item is protected by original copyright rightsstatements.org