Einbeck, J. and Kauermann, G. (2003) Online monitoring with local smoothing methods and adaptive ridging. Journal of Statistical Computation and Simulation, 73, pp. 913-929. (doi: 10.1080/0094965031000104332)
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Abstract
We consider online monitoring of sequentially arising data as e.g. met in clinical information systems. The general focus thereby is to detect breakpoints, i.e. timepoints where the measurement series suddenly changes the general level. The method suggested is based on local estimation. In particular, local linear smoothing is combined by ridging with local constant smoothing. The procedure is demonstrated by examples and compared with other available online monitoring routines.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | UNSPECIFIED |
Authors: | Einbeck, J., and Kauermann, G. |
College/School: | College of Science and Engineering > School of Mathematics and Statistics > Statistics |
Journal Name: | Journal of Statistical Computation and Simulation |
ISSN: | 0010-4817 |
ISSN (Online): | 1572-8412 |
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