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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