{"id":81256,"date":"2018-03-10T00:05:06","date_gmt":"2018-03-10T00:05:06","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/estimadores-de-regresion-local-y-globalmente-robustos\/"},"modified":"2018-03-10T00:05:06","modified_gmt":"2018-03-10T00:05:06","slug":"estimadores-de-regresion-local-y-globalmente-robustos","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/estimadores-de-regresion-local-y-globalmente-robustos\/","title":{"rendered":"Estimadores de regresion local y globalmente robustos"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Sonia Hernandez Alonso <\/strong><\/h2>\n<p>Se trata de hallar estimadores de par\u00e1metros de un modelo lineal que sean robustos. El indicador b\u00e1sico de robustez es el m\u00e1ximo sesgos asint\u00f3tico ocasionado por una fracci\u00f3n de \u00aboutliers\u00bb. En este trabajo se proponen dos clases de estimadores que son al mismo tiempo localmente robustos y globalmente robustos. Se introduce tambien un estimador que es eficiente como el de minimos cuadrados bajo normalidad y adem\u00e1s alcanza el m\u00e1ximo puntos de ruptura.  se resumen las principales ideas y resultados sobre la estimaci\u00f3n robusta para el modelo de regresi\u00f3n lineal. Se presenta una nueva idea de estimaci\u00f3n a las que se denomina estimadores de tipo c que son local y globalmente robustos. Tambi\u00e9n se estiman los coeficientes de regresi\u00f3n imitando la f\u00f3rmula del estimador de minimos cuadrados reemplazando la matriz de momentos muestrales de segundo orden por alg\u00fan estimador robusto de la matriz de dispersi\u00f3n.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Estimadores de regresion local y globalmente robustos<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Estimadores de regresion local y globalmente robustos <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Sonia Hernandez Alonso <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Carlos III de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 16\/11\/1999<\/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>J. Yohai Victor<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: daniel Pe\u00f1a s\u00e1nchez de rivera <\/li>\n<li>Jos\u00e9 Agullo candela (vocal)<\/li>\n<li>Antonio Cuevas gonz\u00e1lez (vocal)<\/li>\n<li>Jos\u00e9 ram\u00f3n Berrendero d\u00edaz (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Sonia Hernandez Alonso Se trata de hallar estimadores de par\u00e1metros de un modelo lineal que sean robustos. [&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":[18550,1477,126,5688],"tags":[3151,14614,173475,173476,41387,173474],"class_list":["post-81256","post","type-post","status-publish","format-standard","hentry","category-carlos-iii-de-madrid","category-estadistica","category-matematicas","category-tecnicas-de-inferencia-estadistica","tag-antonio-cuevas-gonzalez","tag-daniel-pena-sanchez-de-rivera","tag-j-yohai-victor","tag-jose-agullo-candela","tag-jose-ramon-berrendero-diaz","tag-sonia-hernandez-alonso"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/81256","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=81256"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/81256\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=81256"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=81256"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=81256"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}