{"id":100104,"date":"2010-05-04T00:00:00","date_gmt":"2010-05-04T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/combinacion-y-suavizado-de-series-de-tiempo-para-el-analisis-demografico\/"},"modified":"2010-05-04T00:00:00","modified_gmt":"2010-05-04T00:00:00","slug":"combinacion-y-suavizado-de-series-de-tiempo-para-el-analisis-demografico","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/tecnicas-de-prediccion-estadistica\/combinacion-y-suavizado-de-series-de-tiempo-para-el-analisis-demografico\/","title":{"rendered":"Combinaci\u00f3n y suavizado de series de tiempo para el an\u00e1lisis demogr\u00e1fico"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Jos\u00e9 Eliud Silva Urrutia <\/strong><\/h2>\n<p>Se presentan aplicaciones y propuestas metodol\u00f3gicas dentro del \u00e1mbito estad\u00edstico, donde se emplean series temporales \u00fatiles para el an\u00e1lisis demogr\u00e1fico. En la tesis se exploran: la combinaci\u00f3n de informaci\u00f3n, el suavizamiento y su control a trav\u00e9s del criterio del analista, y la conjunci\u00f3n de ambas. En el cap\u00edtulo 2, se utiliza una t\u00e9cnica de desagregaci\u00f3n temporal, pron\u00f3sticos restringidos con series de crecimientos demogr\u00e1ficos y se eval\u00faa un programa de poblaci\u00f3n con pruebas de compatibilidad estad\u00edstica. Se verifica la factibilidad del uso de herramientas t\u00edpicamente empleados en econom\u00eda. En los cap\u00edtulos 3 y 4 se definen y proponen \u00edndices de suavidad y se aplican a datos de mortalidad, asimismo se deducen sus propiedades. En ambos cap\u00edtulos el criterio del analista juega un papel preponderante para la toma de decisiones, la comparabilidad y complementariedad de tendencias de mortalidad.  existen proposiciones demostradas, descripciones detalladas de puntos espec\u00edficos, referencia de datos utilizados, sintaxis de programas de c\u00f3mputo desarrollados. Se prev\u00e9, como futuras l\u00edneas de investigaci\u00f3n, que se puedan hacer m\u00e1s integrales las evaluaciones de programas de poblaci\u00f3n, y, que las propuestas metodol\u00f3gicas de suavizamiento se puedan generalizar para derivar relaciones te\u00f3ricas importantes u oportunidades de uso en otras disciplinas.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Combinaci\u00f3n y suavizado de series de tiempo para el an\u00e1lisis demogr\u00e1fico<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Combinaci\u00f3n y suavizado de series de tiempo para el an\u00e1lisis demogr\u00e1fico <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Jos\u00e9 Eliud Silva Urrutia <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Carlos III de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 05\/04\/2010<\/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>V\u00edctor M. Guerrero Guzm\u00e1n<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: antoni Espasa <\/li>\n<li>Ana Justel (vocal)<\/li>\n<li>pilar Poncela blanco (vocal)<\/li>\n<li>Mar\u00eda Jes\u00fas S\u00e1nchez naranjo (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Jos\u00e9 Eliud Silva Urrutia Se presentan aplicaciones y propuestas metodol\u00f3gicas dentro del \u00e1mbito estad\u00edstico, donde se emplean [&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":[50782,18550,11527,4030],"tags":[195675,204036,204034,202634,100026,204035],"class_list":["post-100104","post","type-post","status-publish","format-standard","hentry","category-analisis-demografico","category-carlos-iii-de-madrid","category-series-temporales","category-tecnicas-de-prediccion-estadistica","tag-ana-justel","tag-antoni-espasa","tag-jose-eliud-silva-urrutia","tag-maria-jesus-sanchez-naranjo","tag-pilar-poncela-blanco","tag-victor-m-guerrero-guzman"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/100104","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=100104"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/100104\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=100104"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=100104"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=100104"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}