Generalized Secant Hyperbolic and a Method of Estimate of its Parameters: Maximum Likelihood Modified

Different generalized distributions are developed in the statistical literature, among them it is the generalized secant hyperbolic distribution (SHG). This paper presents an alternative method for estimation the population parameters of the SHG, called Modified Maximum Likelihood (MVM). Assuming so...

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Autores:
Másmela Caita, Luis Alejandro
Burbano Moreno, Álvaro Alexander
Tipo de recurso:
Fecha de publicación:
2013
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
spa
OAI Identifier:
oai:repository.eafit.edu.co:10784/14425
Acceso en línea:
http://hdl.handle.net/10784/14425
Palabra clave:
Generalized Secant Hyperbolic Distribution
Modified Maximum Likelihood
Estimation Of Parameters
Distribución Hiperbólica Secante Generalizada
Máxima Verosimilitud Modificada
Estimación De Parámetros
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License
Copyright (c) 2013 Luis Alejandro Másmela Caita, Álvaro Alexander Burbano Moreno
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spelling Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees2013-11-052019-11-22T17:02:57Z2013-11-052019-11-22T17:02:57Z2256-43141794-9165http://hdl.handle.net/10784/1442510.17230/ingciecia.9.18.5Different generalized distributions are developed in the statistical literature, among them it is the generalized secant hyperbolic distribution (SHG). This paper presents an alternative method for estimation the population parameters of the SHG, called Modified Maximum Likelihood (MVM). Assuming some alternate expressions that are different from Vaughan´s work in 2002, and based on the same set of data from the original source. It is implemented, the transformed method MVM is implemented computationally, it allows us to observe good approximations of the exact values of the parameters of location and scale, presented by Vaughan in his article. The aim is that in the practice you can use a different methodology to estimate.Se desarrollan diferentes distribuciones generalizadas en la literatura estadística, entre ellas está la distribución hiperbólica secante generalizada (SHG). Este artículo presenta un método alternativo para estimar los parámetros de población del SHG, llamado Probabilidad Máxima Modificada (MVM). Asumiendo algunas expresiones alternativas que son diferentes del trabajo de Vaughan en 2002, y basadas en el mismo conjunto de datos de la fuente original. Se implementa, el método transformado MVM se implementa computacionalmente, nos permite observar buenas aproximaciones de los valores exactos de los parámetros de ubicación y escala, presentados por Vaughan en su artículo. El objetivo es que en la práctica se pueda utilizar una metodología diferente para estimar.application/pdfspaUniversidad EAFIThttp://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/1983http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/1983Copyright (c) 2013 Luis Alejandro Másmela Caita, Álvaro Alexander Burbano MorenoAcceso abiertohttp://purl.org/coar/access_right/c_abf2instname:Universidad EAFITreponame:Repositorio Institucional Universidad EAFITIngeniería y Ciencia; Vol 9, No 18 (2013)Generalized Secant Hyperbolic and a Method of Estimate of its Parameters: Maximum Likelihood ModifiedSecante hiperbólica generalizada y un método de estimación de sus parámetros: máxima verosimilitud modificadaarticleinfo:eu-repo/semantics/articlepublishedVersioninfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Generalized Secant Hyperbolic DistributionModified Maximum LikelihoodEstimation Of ParametersDistribución Hiperbólica Secante GeneralizadaMáxima Verosimilitud ModificadaEstimación De ParámetrosMásmela Caita, Luis Alejandro98f09f52-d4bd-4269-a3a8-7648d83b675f-1Burbano Moreno, Álvaro Alexander9d8d9def-9d07-4bf4-bbd5-27fb22cffc18-1Universidad Distrital Francisco Jose de Caldas.Ingeniería y Ciencia91893106ing.cienc.ORIGINALdocument (21).pdfdocument (21).pdfTexto completo PDFapplication/pdf130226https://repository.eafit.edu.co/bitstreams/6d3fffb1-1b5f-4bca-9093-e17a651d2e84/downloadbd348f4dd249d6a63e0c0160b55eeceeMD51articulo.htmlarticulo.htmlTexto completo HTMLtext/html374https://repository.eafit.edu.co/bitstreams/fd7d831b-3356-43a4-b9fd-cc562a56a1c8/downloadc46a3164a9ebcf204212904071666393MD53THUMBNAILminaitura-ig_Mesa de trabajo 1.jpgminaitura-ig_Mesa de trabajo 1.jpgimage/jpeg265796https://repository.eafit.edu.co/bitstreams/e001ff6c-6ae1-4fb6-bc6b-1318ddc9bd72/downloadda9b21a5c7e00c7f1127cef8e97035e0MD5210784/14425oai:repository.eafit.edu.co:10784/144252024-12-04 11:47:51.587open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co
dc.title.eng.fl_str_mv Generalized Secant Hyperbolic and a Method of Estimate of its Parameters: Maximum Likelihood Modified
dc.title.spa.fl_str_mv Secante hiperbólica generalizada y un método de estimación de sus parámetros: máxima verosimilitud modificada
title Generalized Secant Hyperbolic and a Method of Estimate of its Parameters: Maximum Likelihood Modified
spellingShingle Generalized Secant Hyperbolic and a Method of Estimate of its Parameters: Maximum Likelihood Modified
Generalized Secant Hyperbolic Distribution
Modified Maximum Likelihood
Estimation Of Parameters
Distribución Hiperbólica Secante Generalizada
Máxima Verosimilitud Modificada
Estimación De Parámetros
title_short Generalized Secant Hyperbolic and a Method of Estimate of its Parameters: Maximum Likelihood Modified
title_full Generalized Secant Hyperbolic and a Method of Estimate of its Parameters: Maximum Likelihood Modified
title_fullStr Generalized Secant Hyperbolic and a Method of Estimate of its Parameters: Maximum Likelihood Modified
title_full_unstemmed Generalized Secant Hyperbolic and a Method of Estimate of its Parameters: Maximum Likelihood Modified
title_sort Generalized Secant Hyperbolic and a Method of Estimate of its Parameters: Maximum Likelihood Modified
dc.creator.fl_str_mv Másmela Caita, Luis Alejandro
Burbano Moreno, Álvaro Alexander
dc.contributor.author.spa.fl_str_mv Másmela Caita, Luis Alejandro
Burbano Moreno, Álvaro Alexander
dc.contributor.affiliation.spa.fl_str_mv Universidad Distrital Francisco Jose de Caldas.
dc.subject.keyword.eng.fl_str_mv Generalized Secant Hyperbolic Distribution
Modified Maximum Likelihood
Estimation Of Parameters
topic Generalized Secant Hyperbolic Distribution
Modified Maximum Likelihood
Estimation Of Parameters
Distribución Hiperbólica Secante Generalizada
Máxima Verosimilitud Modificada
Estimación De Parámetros
dc.subject.keyword.spa.fl_str_mv Distribución Hiperbólica Secante Generalizada
Máxima Verosimilitud Modificada
Estimación De Parámetros
description Different generalized distributions are developed in the statistical literature, among them it is the generalized secant hyperbolic distribution (SHG). This paper presents an alternative method for estimation the population parameters of the SHG, called Modified Maximum Likelihood (MVM). Assuming some alternate expressions that are different from Vaughan´s work in 2002, and based on the same set of data from the original source. It is implemented, the transformed method MVM is implemented computationally, it allows us to observe good approximations of the exact values of the parameters of location and scale, presented by Vaughan in his article. The aim is that in the practice you can use a different methodology to estimate.
publishDate 2013
dc.date.issued.none.fl_str_mv 2013-11-05
dc.date.available.none.fl_str_mv 2019-11-22T17:02:57Z
dc.date.accessioned.none.fl_str_mv 2019-11-22T17:02:57Z
dc.date.none.fl_str_mv 2013-11-05
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1794-9165
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10784/14425
dc.identifier.doi.none.fl_str_mv 10.17230/ingciecia.9.18.5
identifier_str_mv 2256-4314
1794-9165
10.17230/ingciecia.9.18.5
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dc.rights.eng.fl_str_mv Copyright (c) 2013 Luis Alejandro Másmela Caita, Álvaro Alexander Burbano Moreno
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rights_invalid_str_mv Copyright (c) 2013 Luis Alejandro Másmela Caita, Álvaro Alexander Burbano Moreno
Acceso abierto
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dc.coverage.spatial.eng.fl_str_mv Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees
dc.publisher.spa.fl_str_mv Universidad EAFIT
dc.source.none.fl_str_mv instname:Universidad EAFIT
reponame:Repositorio Institucional Universidad EAFIT
dc.source.spa.fl_str_mv Ingeniería y Ciencia; Vol 9, No 18 (2013)
instname_str Universidad EAFIT
institution Universidad EAFIT
reponame_str Repositorio Institucional Universidad EAFIT
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