{"id":120059,"date":"2023-02-16T21:30:47","date_gmt":"2023-02-16T21:30:47","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/metricas-entre-modelos-lineales-y-su-aplicacion-al-tratamiento-de-datos-en-medicina\/"},"modified":"2023-02-16T21:30:47","modified_gmt":"2023-02-16T21:30:47","slug":"metricas-entre-modelos-lineales-y-su-aplicacion-al-tratamiento-de-datos-en-medicina","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ciencias-medicas\/metricas-entre-modelos-lineales-y-su-aplicacion-al-tratamiento-de-datos-en-medicina\/","title":{"rendered":"Metricas entre modelos lineales y su aplicacion al tratamiento de datos en medicina."},"content":{"rendered":"<h2>Tesis doctoral de <strong> Martin Rios Alcolea <\/strong><\/h2>\n<p>Se desarrolla una metodolog\u00eda estadistica que permite obtener clasificaciones de modelos linalizables a traves de una distancia basada en el concepto de informacion de shamon. Se han obtenido explicitamente expresiones algebraicas delos estimadores que nos sirvieron para comparar dos o mas de dichas curvas estableciendo su relacion con los contrastes de hipotesis propias del analisis de la varianza en el caso de que las curvas fueran asociadas a un modelo lineal normal de varianzas iguales. Finalmente y como aplicacion se hace un analisis y una clasificacion de distintos tipos de respuesta al ttog en una muestra de ni\u00f1os dando posteriormente un metodo de diagnostico automatizado que cuantifica sus errores.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Metricas entre modelos lineales y su aplicacion al tratamiento de datos en medicina.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Metricas entre modelos lineales y su aplicacion al tratamiento de datos en medicina. <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Martin Rios Alcolea <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Barcelona<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/01\/1986<\/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>Carles M Cuadras Avellana<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal:  Bernardo Herranz  Jos\u00e9 Manuel <\/li>\n<li> Flores Formenti  Tomas De (vocal)<\/li>\n<li>Joan Sentis  Vilalta (vocal)<\/li>\n<li>Joan Manel Batista Foguet (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Martin Rios Alcolea Se desarrolla una metodolog\u00eda estadistica que permite obtener clasificaciones de modelos linalizables a traves [&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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