{"id":86258,"date":"2000-07-09T00:00:00","date_gmt":"2000-07-09T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/inferencia-y-prediccion-en-colas-con-ingresos-o-servicios-en-grupos\/"},"modified":"2000-07-09T00:00:00","modified_gmt":"2000-07-09T00:00:00","slug":"inferencia-y-prediccion-en-colas-con-ingresos-o-servicios-en-grupos","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/inferencia-y-prediccion-en-colas-con-ingresos-o-servicios-en-grupos\/","title":{"rendered":"Inferencia y prediccion en colas con ingresos o servicios en grupos."},"content":{"rendered":"<h2>Tesis doctoral de <strong> David Valentin Conesa Guillen <\/strong><\/h2>\n<p>En \u00e9sta memoria, se analizan estad\u00edsticamente desde la metodolog\u00eda bayesiana los dos sistemas de colas en grupos m\u00e1s representativos. En particular, en el cap\u00edtulo 1, se ofrece una visi\u00f3n global de la utilizaci\u00f3n de la estad\u00edstica en colas. En el cap\u00edtulo 2, se analizan los modelos de colas en grupos en los que son las llegadas las que se producen en grupos. Tras una primera etapa de estimaci\u00f3n de los par\u00e1metros, posteriormente se estudia la congesti\u00f3n de la cola a trav\u00e9s de la distribuci\u00f3n predictiva de las medidas de eficiencia m\u00e1s relevantes del sistema en equilibrio, para cuyo c\u00e1lculo son necesarios m\u00e9todos de inversi\u00f3n num\u00e9rica de transformadas. En el cap\u00edtulo 3, se analiza estad\u00edsticamente la situaci\u00f3n general de la congesti\u00f3n de un sistema formado por varias colas con servicio en grupos todas ellas funcionando en equilibrio y de manera independiente entre s\u00ed. En este caso, para realizar inferencia sobre los par\u00e1metros y para la obtenci\u00f3n de las distribuciones predictivas de las medidas de congesti\u00f3n m\u00e1s importantes, son necesarios procedimientos de integraci\u00f3n monte carlo por cadenas de markov junto a los algoritmos de inversi\u00f3n de transformadas.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Inferencia y prediccion en colas con ingresos o servicios en grupos.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Inferencia y prediccion en colas con ingresos o servicios en grupos. <\/li>\n<li><strong>Autor:<\/strong>\u00a0 David Valentin Conesa Guillen <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Universitat de val\u00e9ncia (estudi general)<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 07\/09\/2000<\/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>Carmen Armero Cervera<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal:  Bayarri garcia Mar\u00eda  Jes\u00fas <\/li>\n<li>david R\u00edos insua (vocal)<\/li>\n<li>Juan  Antonio Cano sanchez (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 David Valentin Conesa Guillen En \u00e9sta memoria, se analizan estad\u00edsticamente desde la metodolog\u00eda bayesiana los dos sistemas [&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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