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This richly illustrated book describes statistical extreme value
theory for the quantification of natural hazards, such as strong
winds, floods and rainfall, and discusses an interdisciplinary
approach to allow the theoretical methods to be applied. The
approach consists of a number of steps: data selection and
correction, non-stationary theory (to account for trends due to
climate change), and selecting appropriate estimation techniques
based on both decision-theoretic features (e.g., Bayesian theory),
empirical robustness and a valid treatment of uncertainties. It
also examines and critically reviews alternative approaches based
on stochastic and dynamic numerical models, as well as recently
emerging data analysis issues and presents large-scale,
multidisciplinary, state-of-the-art case studies. Intended for all
those with a basic knowledge of statistical methods interested in
the quantification of natural hazards, the book is also a valuable
resource for engineers conducting risk analyses in collaboration
with scientists from other fields (such as hydrologists,
meteorologists, climatologists).
This richly illustrated book describes statistical extreme value
theory for the quantification of natural hazards, such as strong
winds, floods and rainfall, and discusses an interdisciplinary
approach to allow the theoretical methods to be applied. The
approach consists of a number of steps: data selection and
correction, non-stationary theory (to account for trends due to
climate change), and selecting appropriate estimation techniques
based on both decision-theoretic features (e.g., Bayesian theory),
empirical robustness and a valid treatment of uncertainties. It
also examines and critically reviews alternative approaches based
on stochastic and dynamic numerical models, as well as recently
emerging data analysis issues and presents large-scale,
multidisciplinary, state-of-the-art case studies. Intended for all
those with a basic knowledge of statistical methods interested in
the quantification of natural hazards, the book is also a valuable
resource for engineers conducting risk analyses in collaboration
with scientists from other fields (such as hydrologists,
meteorologists, climatologists).
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