论文标题
在地统计框架中抽样空间结构
Sampling spatial structures in geostatistical framework
论文作者
论文摘要
极端值地统计学使模拟随机现象的渐近行为，这取决于空间或时间参数。在本文中，我们提出了由多变量Copulas下降的空间固定磁场内的最大系数的新模型。极端图的扩展和跨术图的某些模型是在空间框架中构建的。此外，这两种地理术工具均使用最大变化函数进行建模，该图表征了现象的渐近随机行为。
Extreme values geostatistics make it possible to model the asymptotic behaviors of random phenomena which depends on space or time parameters. In this paper, we propose new models of the extremal coefficient within a spatial stationary fields underlied by multivariate copulas. Some models of extensions of the extremogram and the cross-extremogram are constructed in a spatial framework. Moreover, both these two geostatistcal tools are modeled using the extremal variogram which characterizes the asymptotic stochastic behavior of the phenomena.
