将极端值分布函数用于股票最高价与最低价的描述。
The authors introduce extreme value distribution and describe the high price and low price by it.
虽然最极端的案例包括了较小的、发达程度不足的国家,同样的分布情况也适用于更为发达的国家—其GDP损失绝对值要大得多。
While the most extreme cases involve smaller, less developed countries, the same distribution also applies to more developed ones-and with much larger absolute values for GDP loss.
结果当应变量非正态分布时,直接应用现有回归树算法不能得出正确的分析结论;而当存在极端值时这一问题更为严重。
Results Default arithmetic of regression tree can't be used directly under the condition of non-normal distribution, existence of outlier would make the problem more severity.
This refers to random variables that have fat-tailed distributions-- random variables that occasionally give you really big outcomes.
这就表示,服从长尾分布的随机变量,这些数据出现极端值的概率比较大
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