Simulation Approach for Estimating the Parameters of the First Type Extreme Value Distribution

Hakeeem Hussain Hamad Salih
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Abstract

In this paper, the two parameters of type I extreme value distribution are estimated for the maximum values by using moment’s method and the weighted least square method. The simulation approach is used to compare the obtained results of the applied methods in order to get the best method to estimate the parameters, in which the simulation process starts by generating random samples follows the extreme value distribution. This algorithm is based on three samples of the real parameters and with different sample sizes. The results are tabulated for comparison purpose in connection with the mean square error.
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一类极值分布参数估计的仿真方法
本文采用矩量法和加权最小二乘法对一类极值分布的两个参数的最大值进行了估计。采用仿真方法对各种方法得到的结果进行比较,得到参数估计的最佳方法,其中仿真过程从生成随机样本开始,服从极值分布。该算法基于实际参数的三个样本,并具有不同的样本大小。将结果列成表格,以便与均方误差进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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