由于现实中的极值事件往往倾向于同时或相继发生，因此多元极值研究正成为极值统计学的理论前沿和研究热点。
Due to the frequent co-occurrences of extremes, research on multivariate extremes has become the theoretical frontier and focus in extreme value statistics.
以宜昌站1882 ~ 2002年日流量资料为例，分析了非汛期和汛期的径流极值与极端事件的演变趋势与演变规律。
Trends and laws of runoff extreme and extreme events at Yichang gauging station for the period 1882-2002 are investigated in this paper.
本文借助于平稳时间序列的极值分布理论，对南京地区异常低温事件频次和强度建立统计模型。
The statistical model of frequency and intensity of anomalous microtherm events in Nanjing is established by means of the extreme value distribution theory of stationary time series.
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