基于最稳定过程的极端风暴区域模拟

S. Coles
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引用次数: 118

摘要

随机过程极值的渐近模型通常是估计环境现象极值行为的基础。大多数这样的现象都有空间维度,本文的目的是开发一个在连续空间中模拟极端事件的空间依赖性的程序。分析的一个主要目标——与当前其他关于极端现象的研究一样——是根据尽可能多的可用数据进行推断。模拟数据证明了模型程序的合理性,并随后应用于一系列降雨数据
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regional Modelling of Extreme Storms Via Max‐Stable Processes
Asymptotic models for extremes of random processes often form the basis for estimating the extremal behaviour of environmental phenomena. Most such phenomena have a spatial dimension, and the aim of this paper is to develop a procedure for modelling in continuous space the spatial dependence within extreme events. A principal objective in the analysis-as with other current research on extremes-is to base inference on as much of the available data as possible. The modelling procedures are justified on simulated data and subsequently applied to a series of rainfall data
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