极值的统计模型:应用于计算拉西纳河的极值流量

IF 0.5 Q4 ENGINEERING, CIVIL
Miljan Kovačević, Ljubiša Marković, Lidija Babić
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引用次数: 0

摘要

工程师们意识到与自然现象或涉及人类的现象的概率分布有关的不确定性。即使知道母分布,在假设的情况下,它的功能表示仍然是一个问题。人们可以在实际情况下选择一个合适的概率模型,考虑到现有的数据,来描述感兴趣的现象,然后估计参数和评估所涉及的风险。对1966 ~ 2008年塞尔维亚中南部拉西纳河27年最大流量数据进行了分析和建模。对数据的三种极值模型进行了考虑和比较。随后,在给定的超出周期内,获得了所需的设计值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical modelling of extreme values: Application to calculate extreme flow at river Rasina
Engineers are aware of the uncertainties associated with the probability distributions of natural phenomena or those involving human beings. Even if one knows the parent distribution, in a hypothetical case, its functional representation remains a problem. One can select an appropriate probability model in a practical situation, considering the data available, to describe the phenomenon of interest, and then estimate the parameters and assess the risks involved. The data of 27 annual maximum streamflows at river Rasina in south central Serbia from 1966 to 2008 were analyzed and modeled. Three extreme value models for the data were considered and compared. Subsequently, the required design value with a given return period of exceedance was obtained.
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