{"id":77517,"date":"2005-01-12T00:00:00","date_gmt":"2005-01-12T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/tests-in-nonparametric-regression-based-on-the-error-distribution\/"},"modified":"2005-01-12T00:00:00","modified_gmt":"2005-01-12T00:00:00","slug":"tests-in-nonparametric-regression-based-on-the-error-distribution","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/tests-in-nonparametric-regression-based-on-the-error-distribution\/","title":{"rendered":"Tests in nonparametric regressi\u00f3n based on the error distribution"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Juan  Carlos Pardo Fern\u00e1ndez <\/strong><\/h2>\n<p>La regresi\u00f3n constituye un problema fundamental en la estad\u00edstica. Un modelo de regresi\u00f3n describe la relaci\u00f3n entre una variable explicativa o covariable y una variable respuesta. Si la variable respuesta representa un tiempo, con frecuencia ocurre que los datos est\u00e1n incompletos debido a diversas razones. Una fuente importante de incompletitud es la censura. El objetivo principal de esta tesis consiste en desarrollar contrastes de hip\u00f3tesis sobre la funci\u00f3n de regresi\u00f3n en diversos \u00e1mbitos, tanto para datos completos como para datos censurados. Los contrastes propuestos est\u00e1n basados en la estimaci\u00f3n de la funci\u00f3n de distribuci\u00f3n de los errores del modelo de regresi\u00f3n.  en el capitulo 1 realizamos una breve introducci\u00f3n sobre los nuevos m\u00e9todos desarrollados en este trabajo.  en el capitulo 2 proponemos un nuevo m\u00e9todo de comparaci\u00f3n de curvas de regresi\u00f3n desde un punto de vista totalmente no parametrito. Esto permite comprobar si el efecto de las covariables sobre las variables respuesta es el mismo en los distintos grupos de individuos. La idea del procediemento de contraste estudiado en esta tesis consiste en comparar en cada poboblaci\u00f3n la distribuci\u00f3n emp\u00edrica de los residuos con la distribuci\u00f3n emp\u00edrica de los residuos estimados suponiendo que la hip\u00f3tesis nula es cierta, a trav\u00e9s de estad\u00edsticos de contraste de tipo kolmogorov-smirnov y cram\u00e9r-von mises definidos sobre un proceso emp\u00edrico multidimensional.  tambi\u00e9n en este cap\u00edtulo se estudia un m\u00e9todo para comparar las distribuciones de los errores de los modelos de regresi\u00f3n en distintos grupos.  en el capitulo 3 extendemos el m\u00e9todo de comparaci\u00f3n de curvas de regresi\u00f3n propuesto en el cap\u00edtulo anterior a la situaci\u00f3n en que las variables respuesta est\u00e1n censuradas.  finalmente, en el capitulo 4 de esta tesis estudiamos un contraste de bondad de ajuste para modelos param\u00e9tricos de regresi\u00f3n en los que la variable respuesta est\u00e1 s<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Tests in nonparametric regressi\u00f3n based on the error distribution<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Tests in nonparametric regressi\u00f3n based on the error distribution <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Juan  Carlos Pardo Fern\u00e1ndez <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Santiago de compostela<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/12\/2005<\/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>Wenceslao Gonz\u00e1lez Manteiga<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: ricardo Cao abad <\/li>\n<li>frederic Ferraty (vocal)<\/li>\n<li>noel Veraverdeke (vocal)<\/li>\n<li>jacobo De u\u00f1a \u00e1lvarez (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Juan Carlos Pardo Fern\u00e1ndez La regresi\u00f3n constituye un problema fundamental en la estad\u00edstica. Un modelo de regresi\u00f3n [&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":[1477,126,2765,977,5688],"tags":[166926,77744,166925,166927,13181,2767],"class_list":["post-77517","post","type-post","status-publish","format-standard","hentry","category-estadistica","category-matematicas","category-metodos-de-distribucion-libre-y-no-parametrica","category-santiago-de-compostela","category-tecnicas-de-inferencia-estadistica","tag-frederic-ferraty","tag-jacobo-de-una-alvarez","tag-juan-carlos-pardo-fernandez","tag-noel-veraverdeke","tag-ricardo-cao-abad","tag-wenceslao-gonzalez-manteiga"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/77517","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=77517"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/77517\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=77517"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=77517"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=77517"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}