Natural disaster risk analysis for critical infrastructure systems: An approach based on statistical learning theory

@article{Guikema2009NaturalDR,
  title={Natural disaster risk analysis for critical infrastructure systems: An approach based on statistical learning theory},
  author={Seth D. Guikema},
  journal={Rel. Eng. & Sys. Safety},
  year={2009},
  volume={94},
  pages={855-860}
}
Probabilistic risk analysis has historically been developed for situations in which measured data about the overall reliability of a system are limited and expert knowledge is the best source of information available. There continue to be a number of important problem areas characterized by a lack of hard data. However, in other important problem areas the emergence of information technology has transformed the situation from one characterized by little data to one characterized by data… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 37 references

Statistical estimation of water distribution system pipe reliability

S Yamijala, SD Guikema, K. Brumbelow
Reliab Eng Syst Saf • 2009
View 1 Excerpt

Practical considerations in statistical modeling of count data for infrastructure systems

SD Guikema, JP Coffelt
J Infrastructure Syst • 2008
View 1 Excerpt

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