Estimating parameters of Gumbel Distribution using the Methods of Moments, probability weighted moments and maximum likelihood
Derivamos estimadores para los parámetreos de la distribución de Gumbel usando tres métodos, esto es, los momentos ponderados de probabilidad, el momento y la máxima verosimilitud. Además, comparamos el rendimiento de estos estimadores usando simulaciones. Tanto el orden entero como no entero son co...
Main Authors: | Mahdi, Smail, Cenac, Myrtene |
---|---|
Format: | Online |
Language: | spa |
Published: |
Universidad de Costa Rica, Centro de Investigación en Matemática Pura y Aplicada (CIMPA)
2005
|
Online Access: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/259 |
Similar Items
-
Laughter and Poetry: Five Moments in Central America
by: Molina Morales, Guillermo
Published: (2020) -
One-Sided confidence interval estimation for Weibull Shape and scale parameters
by: Mahdi, Smail
Published: (2005) -
Some properties and inequalities related to the kth inverse moment of a positive binomial variate
by: Arias López, Rodrigo, et al.
Published: (2001) -
Implementation of an Algorithm for the Estimation of the Sea Clutter Distribution and Parameters
by: Gato Martínez, Ismary, et al.
Published: (2017) -
Exercise, Health and Assumptions in Calculating the Estimated Maximum Heart Rate
by: Reyes Rodríguez, Alixon David
Published: (2011)