{"id":118784,"date":"2022-07-27T10:05:50","date_gmt":"2022-07-27T10:05:50","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/criterios-de-evaluacion-de-los-estimadores-de-maxima-verosimilitud-y-funcionales-asintoticamente-equivalentes-bajo-condiciones-de-no-optimalidad-del-modelo-parametrico\/"},"modified":"2022-07-27T10:05:50","modified_gmt":"2022-07-27T10:05:50","slug":"criterios-de-evaluacion-de-los-estimadores-de-maxima-verosimilitud-y-funcionales-asintoticamente-equivalentes-bajo-condiciones-de-no-optimalidad-del-modelo-parametrico","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/criterios-de-evaluacion-de-los-estimadores-de-maxima-verosimilitud-y-funcionales-asintoticamente-equivalentes-bajo-condiciones-de-no-optimalidad-del-modelo-parametrico\/","title":{"rendered":"Criterios de evaluacion de los estimadores de maxima verosimilitud y funcionales asintoticamente equivalentes bajo condiciones de no optimalidad del modelo parametrico."},"content":{"rendered":"<h2>Tesis doctoral de <strong> Jos\u00e9 Mar\u00eda Salinas Mart\u00ednez De Lecea <\/strong><\/h2>\n<p>La definicion de un nuevo criterio la d-robustez  permite evaluar la robustez de los estimadores de maxima-verosimilitud de cualquier parametro. Se presentan nuevos metodos de construccion de estimadores robustos indicados cuando las muestras no son suficientemente grandes  que son compendiados en la formulacion de los estimadores asociados a una distancia. Formulacion  que admite una perspectiva bayesiana y cuyas propiedades de robustez estan referidas al criterio presentado.  la determinacion de las distribuciones mas d-robustas y optimamente d-robustas junto a condiciones de consistencia y normalidad asintotica en modelos parametricos contaminados permite obtener estimadores optimamente robustos de cualquier distribucion.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Criterios de evaluacion de los estimadores de maxima verosimilitud y funcionales asintoticamente equivalentes bajo condiciones de no optimalidad del modelo parametrico.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Criterios de evaluacion de los estimadores de maxima verosimilitud y funcionales asintoticamente equivalentes bajo condiciones de no optimalidad del modelo parametrico. <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Jos\u00e9 Mar\u00eda Salinas Mart\u00ednez De Lecea <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Aut\u00f3noma de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/01\/1984<\/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 Santisteban Requena<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Francisco Azorin Poch <\/li>\n<li>Juan Bejar Alamo (vocal)<\/li>\n<li>Gonzalo Arnaiz Vellando (vocal)<\/li>\n<li>Concepci\u00f3n Fern\u00e1ndez Vivas (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Jos\u00e9 Mar\u00eda Salinas Mart\u00ednez De Lecea La definicion de un nuevo criterio la d-robustez permite evaluar la [&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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