@article{1440310,
      recid = {1440310},
      author = {Bousquet, Nicolas, and Bernardara, Pietro,},
      title = {Extreme value theory with applications to natural hazards  : from statistical theory to industrial practice /},
      pages = {1 online resource :},
      abstract = {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).},
      url = {http://library.usi.edu/record/1440310},
      doi = {https://doi.org/10.1007/978-3-030-74942-2},
}