001440310 000__ 04787cam\a2200601\i\4500 001440310 001__ 1440310 001440310 003__ OCoLC 001440310 005__ 20230309004555.0 001440310 006__ m\\\\\o\\d\\\\\\\\ 001440310 007__ cr\un\nnnunnun 001440310 008__ 211013s2021\\\\sz\a\\\\ob\\\\001\0\eng\d 001440310 019__ $$a1275426161$$a1276778478$$a1276852448$$a1287769196 001440310 020__ $$a9783030749422$$q(electronic bk.) 001440310 020__ $$a3030749428$$q(electronic bk.) 001440310 020__ $$z9783030749415 001440310 020__ $$z303074941X 001440310 0247_ $$a10.1007/978-3-030-74942-2$$2doi 001440310 035__ $$aSP(OCoLC)1275358785 001440310 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dDCT$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCO$$dSFB$$dUKAHL$$dOCLCQ 001440310 0411_ $$aeng$$hfre 001440310 049__ $$aISEA 001440310 050_4 $$aQA273.6$$b.E8413 2021 001440310 08204 $$a519.2/4$$223 001440310 1300_ $$aÉvénements naturels extrêmes.$$lEnglish. 001440310 24510 $$aExtreme value theory with applications to natural hazards :$$bfrom statistical theory to industrial practice /$$cNicolas Bousquet, Pietro Bernardara, editors. 001440310 264_1 $$aCham :$$bSpringer,$$c[2021] 001440310 264_4 $$c©2021 001440310 300__ $$a1 online resource :$$billustrations (some color) 001440310 336__ $$atext$$btxt$$2rdacontent 001440310 337__ $$acomputer$$bc$$2rdamedia 001440310 338__ $$aonline resource$$bcr$$2rdacarrier 001440310 347__ $$atext file 001440310 347__ $$bPDF 001440310 504__ $$aIncludes bibliographical references and index. 001440310 5050_ $$a1 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. 001440310 506__ $$aAccess limited to authorized users. 001440310 520__ $$aThis 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). 001440310 546__ $$aTranslated from French. 001440310 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 19, 2021). 001440310 650_0 $$aExtreme value theory. 001440310 650_0 $$aStatistical weather forecasting. 001440310 650_6 $$aThéorie des valeurs extrêmes. 001440310 650_6 $$aTemps (Météorologie)$$xPrévision statistique. 001440310 655_0 $$aElectronic books. 001440310 7001_ $$aBousquet, Nicolas,$$eeditor. 001440310 7001_ $$aBernardara, Pietro,$$eeditor. 001440310 77608 $$iPrint version: $$z303074941X$$z9783030749415$$w(OCoLC)1244617302 001440310 852__ $$bebk 001440310 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-74942-2$$zOnline Access$$91397441.1 001440310 909CO $$ooai:library.usi.edu:1440310$$pGLOBAL_SET 001440310 980__ $$aBIB 001440310 980__ $$aEBOOK 001440310 982__ $$aEbook 001440310 983__ $$aOnline 001440310 994__ $$a92$$bISE