Extreme Value Theory with Applications to Natural Hazards - From Statistical Theory to Industrial Practice (Paperback, 1st ed. 2021)

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).

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	October 2022
First published:	2021
Editors:	Nicolas Bousquet • Pietro Bernardara
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	481
Edition:	1st ed. 2021
ISBN-13:	978-3-03-074944-6
Languages:	English
Subtitles:	French
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Earth & environment > The environment > Environmental impact of natural disasters & phenomena Books > Professional & Technical > Environmental engineering & technology > General Books > Earth & environment > Earth sciences > Geology & the lithosphere > General Books > Professional & Technical > Mechanical engineering & materials > Production engineering > Industrial quality control
LSN:	3-03-074944-4
Barcode:	9783030749446

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