Estimation of GEV Distribution Parameters Using Partial Probability Weighted Moments
Abstract: In order to reduce the uncertainty of the design flood estimation with larger return period, the prin-ciples and methods of Partial probability weighted moments (PPWM) were used to estimate parameters of Generalized extreme distribution (GEV). MATLAB programs were used to achieve the parameters’ numerical solution of the GEV from PPWM on the basis of previous studies. Monte Carlo experiments were performed to assess the statistical properties of parameters estimation of the GEV distribution by the method of PPWM from different lower bound censored samples. The research results indicate that the method of PPWM from lower bound censored samples still has good effectiveness in high quantile estimation.
文章引用: 原秀红 , 宋松柏 (2012) 基于部分概率权重矩的洪水频率参数估计方法。 水资源研究， 1， 375-379. doi: 10.12677/JWRR.2012.15058
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