当前位置：
X-MOL 学术
›
J. Am. Stat. Assoc.
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A Hierarchical Max-Infinitely Divisible Spatial Model for Extreme Precipitation
Journal of the American Statistical Association ( IF 3.7 ) Pub Date : 2020-05-07 , DOI: 10.1080/01621459.2020.1750414 Gregory P. Bopp 1 , Benjamin A. Shaby 2 , Raphaël Huser 3
Journal of the American Statistical Association ( IF 3.7 ) Pub Date : 2020-05-07 , DOI: 10.1080/01621459.2020.1750414 Gregory P. Bopp 1 , Benjamin A. Shaby 2 , Raphaël Huser 3
Affiliation
Understanding the spatial extent of extreme precipitation is necessary for determining flood risk and adequately designing infrastructure (e.g., stormwater pipes) to withstand such hazards. While e...
中文翻译：
极端降水的分层最大无限可分空间模型
了解极端降水的空间范围对于确定洪水风险和充分设计基础设施（例如雨水管道）以抵御此类灾害是必要的。虽然电子...
更新日期：2020-05-07
中文翻译：
极端降水的分层最大无限可分空间模型
了解极端降水的空间范围对于确定洪水风险和充分设计基础设施（例如雨水管道）以抵御此类灾害是必要的。虽然电子...
京公网安备 11010802027423号