{"id":17426,"date":"2018-03-09T09:05:29","date_gmt":"2018-03-09T09:05:29","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/contribucion-al-estudio-de-distribuciones-discretas-generadas-por-funciones-hipergeometricas-con-parametros-complejos\/"},"modified":"2018-03-09T09:05:29","modified_gmt":"2018-03-09T09:05:29","slug":"contribucion-al-estudio-de-distribuciones-discretas-generadas-por-funciones-hipergeometricas-con-parametros-complejos","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/contribucion-al-estudio-de-distribuciones-discretas-generadas-por-funciones-hipergeometricas-con-parametros-complejos\/","title":{"rendered":"Contribuci\u00f3n al estudio de distribuciones discretas generadas por funciones hipergeom\u00e9tricas con par\u00e1metros complejos"},"content":{"rendered":"<h2>Tesis doctoral de <strong>  Olmo Jim\u00e9nez M. Jos\u00e9 <\/strong><\/h2>\n<p>La memoria extiende la familia de distribuciones generadas por funciones hipergeom\u00e9tricas, al caso en el que los par\u00e1metros sean complejos resolviendo, de este modo, el problema que surgen en las situaciones pr\u00e1cticas cuando las estimaciones de los par\u00e1metros resultan complejas. Concretamente, se consideran las funciones hipergeom\u00e9tricas del tipo p+1fp de forma constructiva, es decir, comenzando con la 2f1, pasando, posteriormente, a la 3f2 y, finalmente generalizando los resultados obtenidos. Asimismo, se realizan extensiones bivariantes a trav\u00e9s de las funciones hipergeom\u00e9tricas f3 y f4 con par\u00e1metros complejos. Para las familias descritas se estudian diversas propiedades probabil\u00edsticas tales como relaciones de recurrencia entre los momentos, simetr\u00eda y dispersi\u00f3n o infinita divisibilidad y se establece una clasificaci\u00f3n para las distribuciones pertenecientes a cada familia. Por otra parte, se aborda el problema de la estimaci\u00f3n, estudiando, los correspondientes m\u00e9todos que nos permitan la modelizaci\u00f3n de datos reales (m\u00e9todo de los momentos, m\u00e9todos mixtos, m\u00e9todos \u00abad hoc\u00bb, m\u00e9todo de la m\u00ednima chi cuadrado y m\u00e9todo de m\u00e1xima verosimilitud), analizando las ventajas e inconvenientes de cada uno de ellos. Por \u00faltimo, se incluyen aplicaciones en situaciones reales procedentes de las \u00e1reas deportiva, econ\u00f3mica y biol\u00f3gica.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Contribuci\u00f3n al estudio de distribuciones discretas generadas por funciones hipergeom\u00e9tricas con par\u00e1metros complejos<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Contribuci\u00f3n al estudio de distribuciones discretas generadas por funciones hipergeom\u00e9tricas con par\u00e1metros complejos <\/li>\n<li><strong>Autor:<\/strong>\u00a0  Olmo Jim\u00e9nez M. Jos\u00e9 <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Ja\u00e9n<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 13\/06\/2002<\/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>Jos\u00e9 Rodr\u00edguez Avi<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Luis Parras guijosa <\/li>\n<li>Miguel angel Fajardo caldera (vocal)<\/li>\n<li>Antonio Pascual acosta (vocal)<\/li>\n<li>josefa Linares p\u00e9rez (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Olmo Jim\u00e9nez M. Jos\u00e9 La memoria extiende la familia de distribuciones generadas por funciones hipergeom\u00e9tricas, al caso [&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 center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"categories":[12487,1477,18923,126,1475,5688,4225],"tags":[4227,4226,54562,3741,17194,54561],"class_list":["post-17426","post","type-post","status-publish","format-standard","hentry","category-aplicacion-de-la-probabilidad","category-estadistica","category-jaen","category-matematicas","category-probabilidad","category-tecnicas-de-inferencia-estadistica","category-teoria-de-la-distribucion-y-probabilidad","tag-antonio-pascual-acosta","tag-jose-rodriguez-avi","tag-josefa-linares-perez","tag-luis-parras-guijosa","tag-miguel-angel-fajardo-caldera","tag-olmo-jimenez-m-jose"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/17426","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/comments?post=17426"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/17426\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=17426"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=17426"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=17426"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}