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Alarm characteristi...
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Beckman, Stig-Inge
(författare)
Alarm characteristics for a flood warning system with deterministic components
- Artikel/kapitelEngelska1990
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Nummerbeteckningar
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LIBRIS-ID:oai:lup.lub.lu.se:14fe3f9e-8b1a-4be3-80a5-977305a934fa
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https://lup.lub.lu.se/record/1214782URI
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https://doi.org/10.1111/j.1467-9892.1990.tb00038.xDOI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:art swepub-publicationtype
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Ämneskategori:ref swepub-contenttype
Anmärkningar
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A method for evaluating a predictor-based alarm system is studied in this paper. The predictor is composed of a deterministic component reflecting external information and a statistically based component for the error between the measurements and the external predictor. The aim of the predictor study is twofold: it is a means of interpreting the connections between the alarm and the catastrophe, and it can be used to select suitable alarm levels. As an application, the performance of a water-level predictor as part of a flood warning system has been evaluated. The result of this analysis shows that an alarm system which operates when the predictor reaches a certain level will tend to give either too many alarms or alarms that are out of phase with the catastrophe.''
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Biuppslag (personer, institutioner, konferenser, titlar ...)
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Holst, JanLund University,Lunds universitet,Matematisk statistik,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Mathematical Statistics,Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH(Swepub:lu)mats-jho
(författare)
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Lindgren, GeorgLund University,Lunds universitet,Spatio-Temporal Stochastic Modelling Group,Forskargrupper vid Lunds universitet,Matematisk statistik,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Lund University Research Groups,Mathematical Statistics,Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH(Swepub:lu)mats-gli
(författare)
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Matematisk statistikMatematikcentrum
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:Journal of Time Series Analysis: Wiley11:1, s. 1-180143-97821467-9892
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