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Extreme Value Theory with Applications to Natural Hazards

Edited by Nicolas Bousquet () and Pietro Bernardara ()

in Springer Books from Springer

Date: 2021
ISBN: 978-3-030-74942-2
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Chapters in this book:

Ch Chapter 1 Extreme Events and History: For a Better Consideration of Natural Hazards
Emmanuel Garnier
Ch Chapter 10 Stochastic and Physics-Based Simulation of Extreme Situations
Sylvie Parey, Thi-Thu-Huong Hoang and Nicolas Bousquet
Ch Chapter 11 Bayesian Extreme Value Theory
Nicolas Bousquet
Ch Chapter 12 Perspectives
Marc Andreewsky, Pietro Bernardara, Nicolas Bousquet, Anne Dutfoy and Sylvie Parey
Ch Chapter 13 Predicting Extreme Ocean Swells
Pietro Bernardara
Ch Chapter 14 Predicting Storm Surges
Marc Andreewsky
Ch Chapter 15 Forecasting Extreme Winds
Sylvie Parey
Ch Chapter 16 Conjunction of Rainfall in Neighboring Watersheds
Nicolas Roche and Anne Dutfoy
Ch Chapter 17 Conjunction of a Flood and a Storm
Alain Sibler and Anne Dutfoy
Ch Chapter 18 SCHADEX: An Alternative to Extreme Value Statistics in Hydrology
Emmanuel Paquet
Ch Chapter 2 Introduction
Nicolas Bousquet and Pietro Bernardara
Ch Chapter 3 Probabilistic Modeling and Statistical Quantification of Natural Hazards
Pietro Bernardara and Nicolas Bousquet
Ch Chapter 4 Fundamental Concepts of Probability and Statistics
Nicolas Bousquet
Ch Chapter 5 Collecting and Analyzing Data
Marc Andreewsky and Nicolas Bousquet
Ch Chapter 6 Univariate Extreme Value Theory: Practice and Limitations
Anne Dutfoy
Ch Chapter 7 Regional Extreme Value Analysis
Jérôme Weiss and Marc Andreewsky
Ch Chapter 8 Extreme Values of Non-stationary Time Series
Sylvie Parey and Thi-Thu-Huong Hoang
Ch Chapter 9 Multivariate Extreme Value Theory: Practice and Limits
Anne Dutfoy

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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-3-030-74942-2

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DOI: 10.1007/978-3-030-74942-2

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