کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4576660 1629973 2012 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Development of plotting position for the general extreme value distribution
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات فرآیندهای سطح زمین
پیش نمایش صفحه اول مقاله
Development of plotting position for the general extreme value distribution
چکیده انگلیسی

SummaryProbability plotting positions are used to graphically display the annual maximum rainfall or flood and to estimate the exceedance probabilities of those values. Therefore, the graphical approach using plotting positions has been applied in many hydrology and water resource engineering fields. The definition of unbiased plotting positions by Cunnane (1978) as the mean of the order statistics from reduced variates has influenced researchers to develop the plotting position of the probability distribution containing shape parameters. In this study, the plotting position formula for the general extreme value (GEV) distribution was derived by using the theoretical reduced variates of the GEV distribution for various sample sizes and shape parameters. To choose an appropriate plotting position formula, we examined eight plotting position formula types containing coefficients of skewness or squared coefficients of skewness in the numerator and/or denominator. In addition, the parameters of the plotting position formula for the GEV distribution were estimated by using a genetic optimization method known as the real-coded genetic algorithm (RGA). The accuracy of the derived plotting position formula for the GEV distribution was examined on the basis of the root mean square errors and relative bias between the theoretical reduced variates and those calculated from the derived and existing plotting position formulas. The derived plotting formula was found to be useful if the range of the shape parameter was within ±0.2.


► In this study, the plotting position formula is developed for the GEV distribution.
► We examine 8 formula types contained the coefficient of skewness related with shape parameter.
► The parameters of formulas are estimated using the RGA which is a kind of genetic algorithm.
► The accuracy is examined based on the root mean square error and the relative bias.
► As a result, the derived formula is valuable if the range of the shape parameter is −0.2 to 0.2.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hydrology - Volume 475, 19 December 2012, Pages 259–269
نویسندگان
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