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標(biāo)題: Titlebook: Extreme Value Theory with Applications to Natural Hazards; From Statistical The Nicolas Bousquet,Pietro Bernardara Book 2021 Springer Natur [打印本頁]

作者: 撒謊    時(shí)間: 2025-3-21 18:23
書目名稱Extreme Value Theory with Applications to Natural Hazards影響因子(影響力)




書目名稱Extreme Value Theory with Applications to Natural Hazards影響因子(影響力)學(xué)科排名




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書目名稱Extreme Value Theory with Applications to Natural Hazards網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Extreme Value Theory with Applications to Natural Hazards被引頻次




書目名稱Extreme Value Theory with Applications to Natural Hazards被引頻次學(xué)科排名




書目名稱Extreme Value Theory with Applications to Natural Hazards年度引用




書目名稱Extreme Value Theory with Applications to Natural Hazards年度引用學(xué)科排名




書目名稱Extreme Value Theory with Applications to Natural Hazards讀者反饋




書目名稱Extreme Value Theory with Applications to Natural Hazards讀者反饋學(xué)科排名





作者: 暖昧關(guān)系    時(shí)間: 2025-3-21 21:55
http://image.papertrans.cn/f/image/320065.jpg
作者: 惹人反感    時(shí)間: 2025-3-22 01:01
https://doi.org/10.1007/978-3-030-74942-2Extreme value statistics; Natural hazards; Risk analysis; Cumulated hazards; Downscaling; Stochastic and
作者: Nonthreatening    時(shí)間: 2025-3-22 05:13

作者: indenture    時(shí)間: 2025-3-22 09:33

作者: 大方一點(diǎn)    時(shí)間: 2025-3-22 15:00

作者: 大方一點(diǎn)    時(shí)間: 2025-3-22 20:01
Research Methodology, Design and Methods,data are available. The spatial regionalization approach developed here, which is based on the detection of regions that are homogeneous in terms of risk, allows to propose a localized quantification of these events.
作者: Atmosphere    時(shí)間: 2025-3-22 22:56
https://doi.org/10.1057/9781137298102reasingly being studied, as it can be more destructive than a single hazard. Introducing, in particular, the notion of copula, this chapter takes up the notations and main concepts introduced in Chap.?..
作者: 修飾語    時(shí)間: 2025-3-23 03:57

作者: extinguish    時(shí)間: 2025-3-23 06:42

作者: 宴會(huì)    時(shí)間: 2025-3-23 12:00

作者: 半球    時(shí)間: 2025-3-23 17:15
Extreme Events and History: For a Better Consideration of Natural Hazards,al hazards. Forgetting is a regular feature of our decisions, and the preservation of the memory of natural disasters depends heavily on our ability to quantify their effects. The author, a climate historian, recalls here some fundamental aspects of this discipline and its necessary connection to statistical approaches to risk analysis.
作者: handle    時(shí)間: 2025-3-23 18:10

作者: Esophagus    時(shí)間: 2025-3-23 23:33

作者: 蕁麻    時(shí)間: 2025-3-24 05:01
Regional Extreme Value Analysisdata are available. The spatial regionalization approach developed here, which is based on the detection of regions that are homogeneous in terms of risk, allows to propose a localized quantification of these events.
作者: Valves    時(shí)間: 2025-3-24 08:21

作者: obviate    時(shí)間: 2025-3-24 11:23

作者: Indebted    時(shí)間: 2025-3-24 14:59

作者: Budget    時(shí)間: 2025-3-24 22:40

作者: 遵循的規(guī)范    時(shí)間: 2025-3-25 03:03
978-3-030-74944-6Springer Nature Switzerland AG 2021
作者: 調(diào)整    時(shí)間: 2025-3-25 05:52
The Effects of Institutional Innovations,This chapter presents the main useful concepts of the statistical approach to extreme values, such as return periods or levels, as well as a general methodology for conducting a statistical study. It also introduces alternative approaches, statistical or not, that can be valuable in dealing with extreme natural hazards.
作者: DAMP    時(shí)間: 2025-3-25 08:33
International Economic Association SeriesThis chapter presents the classic theory of univariate extreme values and its application to various natural hazards described in the previous chapters. The limitations of this approach are discussed, which pave the way for the second part of this book.
作者: Obvious    時(shí)間: 2025-3-25 13:11
https://doi.org/10.1007/978-3-030-44790-8This chapter illustrates the conduct of a classic univariate extreme statistical study on severe ocean swell forecasting.
作者: Chandelier    時(shí)間: 2025-3-25 17:57

作者: 極小    時(shí)間: 2025-3-25 23:17

作者: 巡回    時(shí)間: 2025-3-26 02:09
Univariate Extreme Value Theory: Practice and LimitationsThis chapter presents the classic theory of univariate extreme values and its application to various natural hazards described in the previous chapters. The limitations of this approach are discussed, which pave the way for the second part of this book.
作者: 行為    時(shí)間: 2025-3-26 06:54

作者: Analogy    時(shí)間: 2025-3-26 10:46

作者: Prognosis    時(shí)間: 2025-3-26 16:41
https://doi.org/10.1057/9781137374288al hazards. Forgetting is a regular feature of our decisions, and the preservation of the memory of natural disasters depends heavily on our ability to quantify their effects. The author, a climate historian, recalls here some fundamental aspects of this discipline and its necessary connection to st
作者: dysphagia    時(shí)間: 2025-3-26 19:08
An Institutionalist View of Fiscal Policy,ication of past hazards and extrapolation, offered by extreme value theory, make it an essential tool to improve risk mitigation. The objectives of this book, answering the questions of engineers, decision-makers, researchers, professors, and students, are briefly presented.
作者: 賞錢    時(shí)間: 2025-3-26 20:58

作者: Accolade    時(shí)間: 2025-3-27 02:02

作者: facetious    時(shí)間: 2025-3-27 06:15
Research Methodology, Design and Methods,data are available. The spatial regionalization approach developed here, which is based on the detection of regions that are homogeneous in terms of risk, allows to propose a localized quantification of these events.
作者: 欺騙世家    時(shí)間: 2025-3-27 12:22
Executive—Legislative Relationscertain hazards, this framework makes it possible to take into account the influence of climate change. Two main approaches are considered: the first deals with the incorporation and selection of trends in the parameters of the laws of extremes, while the second, nonparametric, considers trend varia
作者: 多節(jié)    時(shí)間: 2025-3-27 16:39

作者: 吞吞吐吐    時(shí)間: 2025-3-27 19:24

作者: 國家明智    時(shí)間: 2025-3-27 23:02

作者: 憂傷    時(shí)間: 2025-3-28 05:54
https://doi.org/10.1007/978-1-4757-4062-2 using these tools in a context where, in particular, statisticians and engineers cannot ignore the Big Data paradigm and the industrialization of machine learning tools, now essential components of modern artificial intelligence. Parallels are also made with other disciplines interested in extreme
作者: occult    時(shí)間: 2025-3-28 09:34

作者: 加劇    時(shí)間: 2025-3-28 13:44

作者: 高貴領(lǐng)導(dǎo)    時(shí)間: 2025-3-28 17:35

作者: 骯臟    時(shí)間: 2025-3-28 18:46

作者: 施魔法    時(shí)間: 2025-3-29 02:07

作者: 反復(fù)無常    時(shí)間: 2025-3-29 05:09

作者: 符合你規(guī)定    時(shí)間: 2025-3-29 09:52

作者: Delectable    時(shí)間: 2025-3-29 12:10

作者: hedonic    時(shí)間: 2025-3-29 19:31

作者: Inferior    時(shí)間: 2025-3-29 21:27

作者: gnarled    時(shí)間: 2025-3-30 03:27

作者: Reservation    時(shí)間: 2025-3-30 06:04
Bayesian Extreme Value Theoryinion and historical knowledge to be integrated into the estimation of quantities of interest. In this respect, the Bayesian approach constitutes a methodology of increasing use, allowing the mixed treatment of aleatoric and epidemic uncertainties and adapted to the specific needs of engineers.
作者: 單挑    時(shí)間: 2025-3-30 10:46
Extreme Events and History: For a Better Consideration of Natural Hazards,al hazards. Forgetting is a regular feature of our decisions, and the preservation of the memory of natural disasters depends heavily on our ability to quantify their effects. The author, a climate historian, recalls here some fundamental aspects of this discipline and its necessary connection to st
作者: 表兩個(gè)    時(shí)間: 2025-3-30 14:06

作者: Factual    時(shí)間: 2025-3-30 19:15

作者: CURL    時(shí)間: 2025-3-30 23:23
Collecting and Analyzing Dataitative and quantitative characteristics of these data are analyzed in order to come as close as possible to the theoretical conditions of application—in particular the notion of asymptotism—and to statistically characterize their nature (regular, truncated, censored...). This chapter is, therefore,
作者: 可耕種    時(shí)間: 2025-3-31 02:49
Regional Extreme Value Analysisdata are available. The spatial regionalization approach developed here, which is based on the detection of regions that are homogeneous in terms of risk, allows to propose a localized quantification of these events.
作者: ALIEN    時(shí)間: 2025-3-31 06:45

作者: obeisance    時(shí)間: 2025-3-31 10:57

作者: Cytokines    時(shí)間: 2025-3-31 16:22





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