{"id":11502,"date":"2018-03-09T08:56:54","date_gmt":"2018-03-09T08:56:54","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/modelos-multivariantes-para-variables-ordinales-aplicaciones-en-estudios-de-calidad-de-servicio\/"},"modified":"2018-03-09T08:56:54","modified_gmt":"2018-03-09T08:56:54","slug":"modelos-multivariantes-para-variables-ordinales-aplicaciones-en-estudios-de-calidad-de-servicio","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/modelos-multivariantes-para-variables-ordinales-aplicaciones-en-estudios-de-calidad-de-servicio\/","title":{"rendered":"Modelos multivariantes para variables ordinales: aplicaciones en estudios de calidad de servicio"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Arminda Moreno D\u00edaz <\/strong><\/h2>\n<p>El tema principal de esta tesis es el desarrollo de una metodolog\u00eda bayesiana para el an\u00e1lisis de modelos de regresi\u00f3n ordinal multivariantes. Si bien el prop\u00f3sito inicial en la construcci\u00f3n de dichos modelos era crear un marco natural adecuado para estudiar los datos recogidos en encuestas de satisfacci\u00f3n de clientes, su generalizaci\u00f3n es inmediata para datos de igual naturaleza procedentes de otros campos. Por lo tanto, el car\u00e1cter multidisciplinar del trabajo quda de manifiesto al contribuir tanto en el \u00e1rea del marketing, de los modelos matem\u00e1ticos o estad\u00edsticos de servicio, como en la metodolog\u00eda bayesiana aplicada en la resoluci\u00f3n de dichos modelos.  la formulaci\u00f3n matem\u00e1tica de los modelos y su utilizaci\u00f3n en aplicaciones pr\u00e1cticas reales son los otros objetivos fundamentales que pueden destacarse y, m\u00e1s concretamente, la obtenci\u00f3n de resultados finales que pasa por una descripci\u00f3n de los nuevos m\u00e9todos computacionales utilizados y del por qu\u00e9 de su aplicaci\u00f3n. Completan estos objetivos el estudio de selecci\u00f3n de modelos.  el punto de partida viene establecido por la consideraci\u00f3n de los modelos jer\u00e1rquicos de regresi\u00f3n ordinal como ejemplos de modelos lineales generalizados bayesianos. A continuaci\u00f3n se introduce el concepto de variable latente, no con el significado e interpretaci\u00f3n cl\u00e1sica de causalidad caracter\u00edstico de los modelos de ecuaciones estructurales, sino como herramienta de aumento de datos (albert y chib, 1993). Establecida la formulaci\u00f3n y estructura b\u00e1sica de los modelos, se procede a la asignaci\u00f3n de distribuciones a priori adecuadas. Se completa este paradigma bayesiano con la introducci\u00f3n de nuevos esquemas computacionales y herramientas de simulaci\u00f3n, englobadas dentro de los m\u00e9todos montecarlo con cadenas de markov.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Modelos multivariantes para variables ordinales: aplicaciones en estudios de calidad de servicio<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Modelos multivariantes para variables ordinales: aplicaciones en estudios de calidad de servicio <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Arminda Moreno D\u00edaz <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 21\/06\/2001<\/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>David R\u00edos Insua<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: sixto R\u00edos insua <\/li>\n<li>jacinto ramon Martin jimenez (vocal)<\/li>\n<li>Francisco Javier Gir\u00f3n gonz\u00e1lez-torre (vocal)<\/li>\n<li>michael peter Wiper (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Arminda Moreno D\u00edaz El tema principal de esta tesis es el desarrollo de una metodolog\u00eda bayesiana para [&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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