1. Universidad Antonio Nariño
  2. Publicaciones
  3. Revistas UAN
  4. Científicas
  5. INGE@UAN
Por favor, use este identificador para citar o enlazar este ítem: http://repositorio.uan.edu.co/handle/123456789/3892
Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.creatorMoreno Bedoya, David Leonardo-
dc.creatorFino Puerto, Nelson Ricardo-
dc.date2014-03-04-
dc.date.accessioned2021-06-16T13:52:56Z-
dc.date.available2021-06-16T13:52:56Z-
dc.identifierhttp://revistas.uan.edu.co/index.php/ingeuan/article/view/212-
dc.identifier.urihttp://repositorio.uan.edu.co/handle/123456789/3892-
dc.descriptionThe generalized lambda distribution, λ,λ,λ,λ(GLD ) 1 432 is a four-parameter family that has been used for fitting distributions to a wide variety of data sets. Minimization through traditional calculus-based methods has been implemented with relative success, but due to computational and theoretical shortcomings of those methods, the moment space has been limited. This paper solve those troubles by using Genetic Algorithms (search algorithms based on the mechanics of natural selection and natural genetics) applied to the methods of moments. Examples of better solutions than the ones find out with traditional calculusbased methods are included.en-US
dc.descriptionThe generalized lambda distribution, λ,λ,λ,λ(GLD ) 1 432 is a four-parameter family that has been used for fitting distributions to a wide variety of data sets. Minimization through traditional calculus-based methods has been implemented with relative success, but due to computational and theoretical shortcomings of those methods, the moment space has been limited. This paper solve those troubles by using Genetic Algorithms (search algorithms based on the mechanics of natural selection and natural genetics) applied to the methods of moments. Examples of better solutions than the ones find out with traditional calculusbased methods are included.es-ES
dc.formatapplication/pdf-
dc.languagespa-
dc.publisherUNIVERSIDAD ANTONIO NARIÑOes-ES
dc.relationhttp://revistas.uan.edu.co/index.php/ingeuan/article/view/212/174-
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0es-ES
dc.sourceINGE@UAN - TENDENCIAS EN LA INGENIERÍA; Vol. 1 Núm. 2 (2011)es-ES
dc.source2346-1446-
dc.source2145-0935-
dc.subjectData Fittingen-US
dc.subjectGeneralized Lambda Distributionen-US
dc.subjectMinimization Methoden-US
dc.subjectMomentsen-US
dc.subjectPercentilesen-US
dc.subjectGenetic Algorithmsen-US
dc.titleUsing genetic algorithms as a parameter estimation tool for the generalized lambda distribution (gld) family: “methods of moments”en-US
dc.titleUsing genetic algorithms as a parameter estimation tool for the generalized lambda distribution (gld) family: “methods of moments”es-ES
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
Aparece en las colecciones: INGE@UAN

Ficheros en este ítem:
No hay ficheros asociados a este ítem.
Mostrar el registro sencillo del ítem


Ver Estadísticas de uso



Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.