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Using Genetic Algorithm to Estimate the Parameters of the Gumbel Distribution Function by Simulation
- Source :
- Journal of Economics and Administrative Sciences. 28:146-156
- Publication Year :
- 2022
- Publisher :
- University of Baghdad - College of Administration and Economics, 2022.
-
Abstract
- 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).
Details
- ISSN :
- 2227703X and 25185764
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- Journal of Economics and Administrative Sciences
- Accession number :
- edsair.doi...........737fbfd1f292f198e0a2ac97041a89e1