{"id":128886,"date":"1996-01-01T00:00:00","date_gmt":"1996-01-01T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/estimadores-de-minima-divergencia-de-rao-comportamiento-asintotico-y-aplicacion-a-contrastes-de-hipotesis\/"},"modified":"1996-01-01T00:00:00","modified_gmt":"1996-01-01T00:00:00","slug":"estimadores-de-minima-divergencia-de-rao-comportamiento-asintotico-y-aplicacion-a-contrastes-de-hipotesis","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/estimadores-de-minima-divergencia-de-rao-comportamiento-asintotico-y-aplicacion-a-contrastes-de-hipotesis\/","title":{"rendered":"Estimadores de minima divergencia de rao: comportamiento asintotico y aplicacion a contrastes de hipotesis."},"content":{"rendered":"<h2>Tesis doctoral de <strong> M. Del Carmen Pardo Llorente <\/strong><\/h2>\n<p>La memoria consta de una introduccion y cuatro capitulos.En la introduccion se describen los problemas a estudiar, sus antecedentes y su estado actual. En el capitulo 1 se introduce una familia general de medidas de divergencia que contiene como casos particulares a las familias de csiszar, burbea-rao y bregman.  en el capitulo 2, usando datos agrupados, se propone un metodo de estimacion parametrica basado en la divergencia de burbea-rao. Se analizan algunas propiedades y el comportamiento asintotico del estimador propuesto (estimador de minima divergencia).  en el capitulo 3 se aborda el problema de los contrastes de bondad de ajuste, con hipotesis nula simple y compuesta, a partir de divergencias estimadas de burbea-rao.  en el capitulo 4 se estudia la optimalidad para muestras peque\u00f1as de los contrastes obtenidos en el capitulo anterior. Se analizan distintas aproximaciones a la distribucion exacta de los estadisticos y se calculan potencias exactas basadas en regiones criticas exactas para muestras peque\u00f1as.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Estimadores de minima divergencia de rao: comportamiento asintotico y aplicacion a contrastes de hipotesis.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Estimadores de minima divergencia de rao: comportamiento asintotico y aplicacion a contrastes de hipotesis. <\/li>\n<li><strong>Autor:<\/strong>\u00a0 M. Del Carmen Pardo Llorente <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Complutense de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/01\/1996<\/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> Pardo Llorente Julio Angel<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Pilar Ibarrola Mu\u00f1oz <\/li>\n<li> De La Horra Navarro Juli\u00e1n (vocal)<\/li>\n<li>Ricardo Velez Ibarrola (vocal)<\/li>\n<li> Gil \u00e1lvarez Pedro \u00e1ngel (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de M. Del Carmen Pardo Llorente La memoria consta de una introduccion y cuatro capitulos.En la introduccion se [&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":[986,1477,2764,126,5688],"tags":[27781,4033,68688,61761,3366,8072],"class_list":["post-128886","post","type-post","status-publish","format-standard","hentry","category-complutense-de-madrid","category-estadistica","category-fundamentos-de-la-inferencia-estadistica","category-matematicas","category-tecnicas-de-inferencia-estadistica","tag-de-la-horra-navarro-julian","tag-gil-alvarez-pedro-angel","tag-m-del-carmen-pardo-llorente","tag-pardo-llorente-julio-angel","tag-pilar-ibarrola-munoz","tag-ricardo-velez-ibarrola"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/128886","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=128886"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/128886\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=128886"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=128886"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=128886"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}