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Statistical Resampling in Assessing External Threats to Structures

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Probabilistic Safety Assessment and Management

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Abstract

The paper deals with an application of bootstrap methods to estimating risk to structures posed by extreme, dangerous phenomena. It is considered how to calculate risk values when a limited amount of data on actions imposed by these phenomena is available. The paper presents a procedure allowing applying this limited data to calculating bootstrap confidence intervals for probabilities of damage which can be caused by the actions. It is discussed how to incorporate the confidence intervals in an expression of the risk.

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References

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Author information

Authors and Affiliations

  1. Vilnius Gediminas Technical University, 11 Sauletekio Ave, 2040, Vilnius, Lithuania

    Egidijus R. Vaidogas

Authors
  1. Egidijus R. Vaidogas
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Editor information

Editors and Affiliations

  1. TÜV Süddeutschland, Dudenstrasse 28, D-68167, Mannheim, Germany

    Cornelia Spitzer Dipl.-Math.

  2. Swiss Federal Nuclear Safety Inspectorate (HSK), CH-5232, Villigen-HSK, Switzerland

    Ulrich Schmocker PhD

  3. Paul Scherrer Institut (PSI), CH-5232, Villigen PSI, Switzerland

    Vinh N. Dang PhD

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© 2004 Springer-Verlag London

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Cite this paper

Vaidogas, E.R. (2004). Statistical Resampling in Assessing External Threats to Structures. In: Spitzer, C., Schmocker, U., Dang, V.N. (eds) Probabilistic Safety Assessment and Management. Springer, London. https://doi.org/10.1007/978-0-85729-410-4_467

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  • DOI: https://doi.org/10.1007/978-0-85729-410-4_467

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1057-6

  • Online ISBN: 978-0-85729-410-4

  • eBook Packages: Springer Book Archive

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