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Extreme value theory with applicatio...

Bousquet, Nicolas.

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Extreme value theory with applications to natural hazards = from statistical theory to industrial practice /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Extreme value theory with applications to natural hazards/ edited by Nicolas Bousquet, Pietro Bernardara.
Reminder of title:	from statistical theory to industrial practice /
other author:	Bousquet, Nicolas.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xxii, 481 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	1 E. Garnier: Extreme Events and History: for a better consideration of natural hazards -- 2 N. Bousquet and P. Bernardara: Introduction -- Part I Standard Extreme Value Theory -- 3 P. Bernardara and N. Bousquet: Probabilistic modeling and statistical quantification of natural hazards -- 4 N. Bousquet: Fundamental concepts of probability and statistics -- 5 M. Andreewsky and N. Bousquet: Collecting and analyzing data -- 6 A. Dutfoy: Univariate extreme value theory: practice and limitations -- Part II Elements of Extensive Statistical Analysis -- 7 J. Weiss and M. Andreewsky: Regional extreme value analysis -- 8 S. Parey, T. Hoang: Extreme values of non-stationary time series -- 9 A. Dutfoy: Multivariate extreme value theory: practice and limits -- 10 S., T. Hoang and N. Bousquet: Stochastic and physics-based simulation of extreme situations -- 11 N. Bousquet: Bayesian extreme value theory -- 12 M. Andreewsky, P. Bernardara, N. Bousquet, A. Dutfoy and S. Parey: Perspectives -- Part III Detailed Case Studies on Natural Hazards -- 13 P. Bernardara: Predicting extreme ocean swells -- 14 M. Andreewsky: Predicting storm surges -- 15 S. Parey: Forecasting extreme winds -- 16 N. Roche and A. Dutfoy: Conjunction of rainfall in neighboring watersheds -- 17 A. Sibler and A. Dutfoy: Conjunction of a flood and a storm -- 18 E. Paquet: SCHADEX: an alternative to extreme value statistics in hydrology -- Appendix A -- Appendix B -- References -- Index.
Contained By:	Springer Nature eBook
Subject:	Extreme value theory. -
Online resource:	https://doi.org/10.1007/978-3-030-74942-2
ISBN:	9783030749422

Extreme value theory with applications to natural hazards = from statistical theory to industrial practice /
Evenements naturels extremes.English.

Extreme value theory with applications to natural hazardsfrom statistical theory to industrial practice /[electronic resource] :edited by Nicolas Bousquet, Pietro Bernardara. - Cham :Springer International Publishing :2021. - xxii, 481 p. :ill. (some col.), digital ;24 cm.

1 E. Garnier: Extreme Events and History: for a better consideration of natural hazards -- 2 N. Bousquet and P. Bernardara: Introduction -- Part I Standard Extreme Value Theory -- 3 P. Bernardara and N. Bousquet: Probabilistic modeling and statistical quantification of natural hazards -- 4 N. Bousquet: Fundamental concepts of probability and statistics -- 5 M. Andreewsky and N. Bousquet: Collecting and analyzing data -- 6 A. Dutfoy: Univariate extreme value theory: practice and limitations -- Part II Elements of Extensive Statistical Analysis -- 7 J. Weiss and M. Andreewsky: Regional extreme value analysis -- 8 S. Parey, T. Hoang: Extreme values of non-stationary time series -- 9 A. Dutfoy: Multivariate extreme value theory: practice and limits -- 10 S., T. Hoang and N. Bousquet: Stochastic and physics-based simulation of extreme situations -- 11 N. Bousquet: Bayesian extreme value theory -- 12 M. Andreewsky, P. Bernardara, N. Bousquet, A. Dutfoy and S. Parey: Perspectives -- Part III Detailed Case Studies on Natural Hazards -- 13 P. Bernardara: Predicting extreme ocean swells -- 14 M. Andreewsky: Predicting storm surges -- 15 S. Parey: Forecasting extreme winds -- 16 N. Roche and A. Dutfoy: Conjunction of rainfall in neighboring watersheds -- 17 A. Sibler and A. Dutfoy: Conjunction of a flood and a storm -- 18 E. Paquet: SCHADEX: an alternative to extreme value statistics in hydrology -- Appendix A -- Appendix B -- References -- Index.

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)

ISBN: 9783030749422

Standard No.: 10.1007/978-3-030-74942-2doiSubjects--Topical Terms:

646412
Extreme value theory.

LC Class. No.: QA273.6 / .E8413 2021

Dewey Class. No.: 519.24

Extreme value theory with applications to natural hazards = from statistical theory to industrial practice /
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130 0 $a Evenements naturels extremes. $l English. $3 3522281
245 1 0 $a Extreme value theory with applications to natural hazards $h [electronic resource] : $b from statistical theory to industrial practice / $c edited by Nicolas Bousquet, Pietro Bernardara.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xxii, 481 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 1 E. Garnier: Extreme Events and History: for a better consideration of natural hazards -- 2 N. Bousquet and P. Bernardara: Introduction -- Part I Standard Extreme Value Theory -- 3 P. Bernardara and N. Bousquet: Probabilistic modeling and statistical quantification of natural hazards -- 4 N. Bousquet: Fundamental concepts of probability and statistics -- 5 M. Andreewsky and N. Bousquet: Collecting and analyzing data -- 6 A. Dutfoy: Univariate extreme value theory: practice and limitations -- Part II Elements of Extensive Statistical Analysis -- 7 J. Weiss and M. Andreewsky: Regional extreme value analysis -- 8 S. Parey, T. Hoang: Extreme values of non-stationary time series -- 9 A. Dutfoy: Multivariate extreme value theory: practice and limits -- 10 S., T. Hoang and N. Bousquet: Stochastic and physics-based simulation of extreme situations -- 11 N. Bousquet: Bayesian extreme value theory -- 12 M. Andreewsky, P. Bernardara, N. Bousquet, A. Dutfoy and S. Parey: Perspectives -- Part III Detailed Case Studies on Natural Hazards -- 13 P. Bernardara: Predicting extreme ocean swells -- 14 M. Andreewsky: Predicting storm surges -- 15 S. Parey: Forecasting extreme winds -- 16 N. Roche and A. Dutfoy: Conjunction of rainfall in neighboring watersheds -- 17 A. Sibler and A. Dutfoy: Conjunction of a flood and a storm -- 18 E. Paquet: SCHADEX: an alternative to extreme value statistics in hydrology -- Appendix A -- Appendix B -- References -- Index.
520 $a 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)
650 0 $a Extreme value theory. $3 646412
650 0 $a Statistical weather forecasting. $3 3522284
650 1 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Natural Hazards. $3 1005730
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 1005896
650 2 4 $a Math. Appl. in Environmental Science. $3 891071
650 2 4 $a Quality Control, Reliability, Safety and Risk. $3 891027
650 2 4 $a Quantitative Geology. $3 908377
700 1 $a Bousquet, Nicolas. $3 3522282
700 1 $a Bernardara, Pietro. $3 3522283
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-74942-2
950 $a Mathematics and Statistics (SpringerNature-11649)