Estimating parameters of Gumbel Distribution using the Methods of Moments, probability weighted moments and maximum likelihood
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| Autores: | , |
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| Formáid: | artículo original |
| Stádas: | Versión publicada |
| Fecha de Publicación: | 2005 |
| Cur Síos: | We derive here estimators for the parameters of the Gumbel distribution using three estimating methods, namely, the probability weighted moments, the moment and the maximum likelihood methods. Furthermore, we compare the performance of these estimators using simulations. Both integer and non-integer orders are considered in the probability weighted moments method. Overall, the results show that the probability weighted moments method outperforms the other methods in the estimation of both α and εα y β parameters. |
| País: | Portal de Revistas UCR |
| Institiúid: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Teanga: | Español |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/259 |
| Rochtain Ar Líne: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/259 |
| Palabra clave: | Gumbel distribution probability weighted moments method moment method maximum likelihood method simulation Distribución de Gumbel método de momentos ponderados de probabilidad método de momentos método de máxima verosimilitud simulación |