Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Marío Martínez Pizarro"'
Autor:
María Isabel Rodríguez-Cáceres, Eduardo Manuel Cuerda Correa, Antonio Serrano Pérez, José Carlos Corchado Martín-Romo, Nielene María Mora-Díez, Jesús Zarza Belmonte, Alba Flores Regalado, Jorge Antonio Sansón Martín, Rafael Fernando Martínez Vázquez, María Elena Martín-Navarro, Carmen Fernández-González, Carlos Javier Durán Valle, María Alexandre-Franco, Rosario Pardo-Botello, María Isabel Parra Arévalo, Emilio Viñuelas-Zahínos, María Victopria Gil Álvarez, Emilia Botello Cambero, Manuel Antón Martinez, Francisco Luna Giles, Guadalupe Cumplido Laso, María Luz Sánchez Mendoza, Marío Martínez Pizarro, María Ángles Obregón Muñoz, Javier Espino Palma, María Garrido Álvarez, Javier Vaquero Martinez
Publikováno v:
INTED2023 Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68a1e87bf0a77919f4f3bf4d0a26b3af
https://doi.org/10.21125/inted.2023.1145
https://doi.org/10.21125/inted.2023.1145
Publikováno v:
Entropy, Vol 24, Iss 2, p 178 (2022)
In the parameter estimation of limit extreme value distributions, most employed methods only use some of the available data. Using the peaks-over-threshold method for Generalized Pareto Distribution (GPD), only the observations above a certain thresh
Externí odkaz:
https://doaj.org/article/5f92852d6f9b42d1856a65ca60dc0285
Publikováno v:
Entropy, Vol 22, Iss 11, p 1267 (2020)
Usual estimation methods for the parameters of extreme value distributions only employ a small part of the observation values. When block maxima values are considered, many data are discarded, and therefore a lot of information is wasted. We develop
Externí odkaz:
https://doaj.org/article/a40076f51fcb4a82bd6f0a2a08d49864