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A New Numerical Algorithm of Three Parameter Generalized Extreme Value Distribution of Wind Speed

机译:一种新的三个参数广义极值分布的新数值算法

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Maximum likelihood estimation method is used to solve the problem of parameter estimation of three-parameter generalized extreme value distribution. Based on the theory of order reducing,a new numerical algorithm is presented to resolve the problem of maximum likelihood estimation of three-parameter generalized extreme value distribution.Firstly,the shape parameter is assumed to be known and ternary likelihood equations can be transferred into binary ones that are solved with the dichotomy.And then,scale and location parameters are the functions of shape parameter. Further,the maximum likelihood function is described as a unitary function of shape parameter. The optimal estimation of shape parameters can be obtained by applying dichotomy again.
机译:最大似然估计方法用于解决三参数广义极值分布的参数估计问题。 基于减少的顺序理论,提出了一种新的数值算法来解决三参数广义极值分布的最大似然估计的问题。假设是已知的形状参数,并且可以将三元似然方程转移到二进制中 那些用二分法解决的问题。然后,刻度和位置参数是形状参数的功能。 此外,最大似然函数被描述为形状参数的整体函数。 通过再次施加二分法,可以获得形状参数的最佳估计。

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