Extreme Value Modeling of Hydrological floods: A Case study
There are many engineering areas where the extreme value theory play* a decisive role. Every engineer knows that design values are a compromise between the critical capacity of engineering elements and their associated extreme operating conditions. Assessment of design values therefore depends on accurate modeling of the probability distribution of the largest height together with its joint occurrence with critical periods. In this paper, the data obtained from a survey station are analyzed to determine the distribution. It is shown that the Bayesian computation is made of the predictive distribution of the design values likely to be incurred.
extreme value theory Bayesian model generalized extreme value distribution maximum likelihood estimate
Suo Xiuyun
School of Sciences Hebei University of Science and Technology Shijiazhuang,China
国际会议
上海
英文
376-379
2011-03-11（万方平台首次上网日期，不代表论文的发表时间）