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- W2384350264 abstract "General extreme value distribution(GEV) is commonly used in hydrology and other fields,including extreme value type I,extreme value type II and extreme value type III.After introducing L-moments of GEV distribution and its relationship with distribution parameters,a suitable formula of sample L-moments in consideration of the historical flood information was proposed,and the calculation of parameter k in probability density function was improved.The statistical performance of L-moments for estimation of population parameters and suitability of the historical flood formula proposed were analysed by Monte-Carlo method,then comparison with the moment method and curve-fitting methods with absolute criteria and square criteria was done.The results of Monte-Carlo experiments show that L-moment method with improved k value is better than the original one,both of them have very good un-bias of parameters and quantiles estimation.In general speaking,the L-moment method with improved k value is similar to the curve-fitting method with absolute criteria in statistical performance.However,it is better than the curve-fitting method with square criteria and moment method." @default.
- W2384350264 created "2016-06-24" @default.
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- W2384350264 date "2008-01-01" @default.
- W2384350264 modified "2023-09-24" @default.
- W2384350264 title "Study on Parameter Estimation by Using L-Moment Method for General Extreme Value Distribution in Consideration of Historical Flood Information" @default.
- W2384350264 hasPublicationYear "2008" @default.
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