{"id":22661,"date":"2018-03-09T09:12:55","date_gmt":"2018-03-09T09:12:55","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/mixturas-de-distribuciones-modelizacion-de-experiencias-con-asimetria-en-los-datos\/"},"modified":"2018-03-09T09:12:55","modified_gmt":"2018-03-09T09:12:55","slug":"mixturas-de-distribuciones-modelizacion-de-experiencias-con-asimetria-en-los-datos","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/sevilla\/mixturas-de-distribuciones-modelizacion-de-experiencias-con-asimetria-en-los-datos\/","title":{"rendered":"Mixturas de distribuciones: modelizaci\u00f3n de experiencias con asimetr\u00eda en los datos"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Nieves Atienza Mart\u00ednez <\/strong><\/h2>\n<p>En este trabajo se propone un modelo de mixturas mixtas de tres componentes, pertenecientes a las familias de distribuciones lognormal, gramma y weibull, para ajustar variables que presentan distribuciones con asimetr\u00eda positiva.  se aborda la cuesti\u00f3n de identicabilidad del modelo a trav\u00e9s del estudio de la identificabilidad de la clase de mixturas finitas generada a partir de la uni\u00f3n de las tres familias, proporcionando una nueva condici\u00f3n suficiente de identificabilidad.  se estudian las propiedades de los emv de los par\u00e1metros del modelo presentando resultado que permiten verificar las condiciones dadas por recher y walker (1984) en mixturas finitas generadas a partir de uniones de familias exponenciales y de uniones de una nueva clase de familais, las familias denominadas tipo n.  por \u00faltimo, se aborda el problema del c\u00e1lculo de dichos estimadores a partir del algor\u00edtmo em, presentando como ilustraci\u00f3n de la metodolog\u00eda una aplicaci\u00f3n para la variables estancia hospitalaria.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Mixturas de distribuciones: modelizaci\u00f3n de experiencias con asimetr\u00eda en los datos<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Mixturas de distribuciones: modelizaci\u00f3n de experiencias con asimetr\u00eda en los datos <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Nieves Atienza Mart\u00ednez <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Sevilla<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 24\/04\/2003<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li> Garc\u00eda De Las Heras Joaquin<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Antonio Pascual acosta <\/li>\n<li>wenceslao Manteiga gonz\u00e1lez (vocal)<\/li>\n<li>Andr\u00e9s Gonz\u00e1lez carmona (vocal)<\/li>\n<li>leandro Pardo llorente (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Nieves Atienza Mart\u00ednez En este trabajo se propone un modelo de mixturas mixtas de tres componentes, pertenecientes [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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