Using Genetic Algorithm to Estimate the Parameters of the Gumbel Distribution Function by Simulation
Genetic algorithm
Gumbel Distribution
likelihood Function
loss Function
الخوارزمية الجينية
توزيع كامبل
الامكان الاعظم
دالة الخسارة
In this research, the focus was on estimating the parameters on (min- Gumbel distribution), using the maximum likelihood method and the Bayes method. The genetic algorithmmethod was employed in estimating the parameters of the maximum likelihood method as well as the Bayes method. The comparison was made using the mean error squares (MSE), where the best estimator is the one who has the least mean squared error. It was noted that the best estimator was (BLG_GE).
