| 書(shū)目名稱(chēng) | Extreme Value Theory with Applications to Natural Hazards | | 副標(biāo)題 | From Statistical The | | 編輯 | Nicolas Bousquet,Pietro Bernardara | | 視頻video | http://file.papertrans.cn/321/320065/320065.mp4 | | 概述 | Provides a comprehensive description of statistical extreme value theory for the quantification of natural hazards.Discusses alternative approaches based on stochastic and dynamic numerical models.Inc | | 圖書(shū)封面 |  | | 描述 | .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).?. | | 出版日期 | Book 2021 | | 關(guān)鍵詞 | Extreme value statistics; Natural hazards; Risk analysis; Cumulated hazards; Downscaling; Stochastic and | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-74942-2 | | isbn_softcover | 978-3-030-74944-6 | | isbn_ebook | 978-3-030-74942-2 | | copyright | Springer Nature Switzerland AG 2021 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-26 18:33
發(fā)表于 2025-3-21 18:23:22
