气候变化领域集成服务门户(CCPortal): Quantifying the risk of heat waves using extreme value theory and spatio-temporal functional data

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DOI	10.1016/j.csda.2018.07.004
	Quantifying the risk of heat waves using extreme value theory and spatio-temporal functional data
	French, Joshua; Kokoszka, Piotr; Stoev, Stilian; Hall, Lauren
发表日期	2019-03-01
ISSN	0167-9473
EISSN	1872-7352
卷号	131 页码:176-193
英文摘要	Heat waves and other extreme weather events have attracted a great deal of attention due to their socioeconomic impacts and relation to climate change. A heat wave is defined through a general loss function that captures its amplitude, temporal persistenc
关键词	Extreme events Functional data Elsevier Heat waves Spatio-temporal analysis
学科领域	Computer Science, Interdisciplinary Applications;Statistics & Probability
语种	英语
WOS记录号	WOS:000450384700015
来源期刊	COMPUTATIONAL STATISTICS & DATA ANALYSIS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/81408
作者单位	Colorado State Univ, Ft Collins, CO 80523 USA
推荐引用方式 GB/T 7714	French, Joshua,Kokoszka, Piotr,Stoev, Stilian,et al. Quantifying the risk of heat waves using extreme value theory and spatio-temporal functional data[J],2019,131:176-193.
APA	French, Joshua,Kokoszka, Piotr,Stoev, Stilian,&Hall, Lauren.(2019).Quantifying the risk of heat waves using extreme value theory and spatio-temporal functional data.COMPUTATIONAL STATISTICS & DATA ANALYSIS,131,176-193.
MLA	French, Joshua,et al."Quantifying the risk of heat waves using extreme value theory and spatio-temporal functional data".COMPUTATIONAL STATISTICS & DATA ANALYSIS 131(2019):176-193.