{"id":87721,"date":"2000-04-12T00:00:00","date_gmt":"2000-04-12T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/biplot-con-informacion-externa-en-modelos-lineales-generalizados\/"},"modified":"2000-04-12T00:00:00","modified_gmt":"2000-04-12T00:00:00","slug":"biplot-con-informacion-externa-en-modelos-lineales-generalizados","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/biplot-con-informacion-externa-en-modelos-lineales-generalizados\/","title":{"rendered":"Biplot con informacion externa en modelos lineales generalizados."},"content":{"rendered":"<h2>Tesis doctoral de <strong>  Cardenas Cardenas Olesia Coromoto <\/strong><\/h2>\n<p>En la ultima decada los aportes en el desarrollo de los m\u00e9todos biplot (gabriel, 1971) han sido considerables. La posibilidad de interpretar el biplot de una matriz de datos (individuos pro variables) como un modelo bilineal multiplicativo (gollob, 1968), permite describir aspectos resaltantes en tablas de dos vias, fundamentalmente en lo que se refiere a la descripci\u00f3n en la interacci\u00f3n y la diagnosis de modelos, olvidando asi el prop\u00f3sito original de los biplots. En esta linea, encontramos muchos aportes respecto a los metodos de estimacion utilizados en las aproximaciones biplot, al considerar a los modelos utilizados en el ajuste como extensiones de los modelos lineales generalizados (nelder &amp; wedderburn, 1972). Sin embargo, la mayoria de los metodo propuestos hasta el momento, se fundamentan en generalizaciones heur\u00edsticas. En esta investigaci\u00f3n, se insiste en la utilizaci\u00f3n de los biplot en la forma cl\u00e1sica (para describir matrices de datos, individuos por variables) y la contribuci\u00f3n est\u00e1 en la proposici\u00f3n matematica de un \u00abmetodo de estimaci\u00f3n simultanea\u00bb para el ajuste de los biplot a trav\u00e9s de los modelos bilineales generalizados multiplicativos, considerando la posibilidad de inclusi\u00f3n de variables externas que permitan la ordenaci\u00f3n grafica de los individuos de acuerdo a los ejes biplot. Este enfoque se puede relacionar con la forma factorial clasica de la escuela francesa de analisis de datos y con los m\u00e9todos de ordenaci\u00f3n de la escuela biometrica. nos valemos en el metodo, de las buenas propiedades que los estimadores maximo veros\u00edmiles deben tener en otros contextos, aunque su uso se hace finalmente en la forma clasica de los biplots y no en forma inferencial. para la interpretaci\u00f3n, se analiza la geometria de los biplot ajustados en terminos de proyecciones sobre los subespacios de mejor ajuste (en el sentido de los minimos cuadrados). Finalmente se realiza una aplicaci\u00f3n practica, y se comparan los<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Biplot con informacion externa en modelos lineales generalizados.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Biplot con informacion externa en modelos lineales generalizados. <\/li>\n<li><strong>Autor:<\/strong>\u00a0  Cardenas Cardenas Olesia Coromoto <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Salamanca<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 04\/12\/2000<\/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>Purificacion Galindo Villardon<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Jos\u00e9 Luis Vicente villardon <\/li>\n<li>david Almorza gomar (vocal)<\/li>\n<li> Ramirez narvaez guillermo Jos\u00e9 (vocal)<\/li>\n<li>Juan  Antonio Castro   posadas (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Cardenas Cardenas Olesia Coromoto En la ultima decada los aportes en el desarrollo de los m\u00e9todos biplot [&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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