{"id":39182,"date":"1999-01-01T00:00:00","date_gmt":"1999-01-01T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/bondad-de-ajuste-basada-en-la-descomposicion-de-la-correlacion-maxima\/"},"modified":"1999-01-01T00:00:00","modified_gmt":"1999-01-01T00:00:00","slug":"bondad-de-ajuste-basada-en-la-descomposicion-de-la-correlacion-maxima","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/bondad-de-ajuste-basada-en-la-descomposicion-de-la-correlacion-maxima\/","title":{"rendered":"Bondad de ajuste basada en la descomposicion de la correlacion maxima."},"content":{"rendered":"<h2>Tesis doctoral de <strong> Aurea Grane Chavez <\/strong><\/h2>\n<p>Se proponen tre estad\u00edsticos de bondad de ajuste basados en la correlaci\u00f3n m\u00e1xima de hoeffding para contrastar: uniformidad en (0,1): la primera modificaci\u00f3n de la correlaci\u00f3n m\u00e1xima es un l-estadistico, que admite una descomposici\u00f3n en serie funci\u00f3n de unas componentes, parecida a la de otros estad\u00edsticos de bondad de ajuste, como por ejemplo, el estad\u00edstico de cramer-von mises. Se calculan las distribuciones exactas de ste estad\u00edstico y de sys componentes bajo la hip\u00f3tesis nula de uniformidad, y se estudian sus propiedades asint\u00f3ticas. se estudia la potencia y la eficiencia relativa asint\u00f3tica de bahadur de este estad\u00edstico frente a una serie de distribuciones alternativas. Se compara, tambi\u00e9n, con los estad\u00edsticos de kolmogorov-smirnov, cram\u00e9r-von mises y anderson-darling.  exponencialidad con par\u00e1metro de posici\u00f3n y escala: la segunda modificaci\u00f3n de la correlaci\u00f3n m\u00e1xima es un cociente de l-estad\u00edsticos, cuya distribuci\u00f3n estandarizada esindependiente de los par\u00e1metros de posici\u00f3n y escala. Se estudian sus propiedades asint\u00f3ticas, se calculan sus valores cr\u00edticos asint\u00f3ticos y algunas funciones de potencia. se compara este segundo estad\u00edstico con los estad\u00edsticos de exponencialidad de shapiro-wilk y gini.  exponencialidad con par\u00e1metro de escala: la tercera modificaci\u00f3n de la correlaci\u00f3n m\u00e1xima es un cociente de l-estad\u00edsticos, cuya distribuci\u00f3n estandarizada es independiente del par\u00e1metro de escala. Se estudian sus propiedades para muestras peque\u00f1as y grandes y se obtiene su distribuci\u00f3n exacta, tablas de sus valores cr\u00edticos exactos y algunas funciones de potencia. Se compara este tercer estad\u00edstico con los estad\u00edsticos de exponencialidad de shapiro-wilk y gini.  se construye tambi\u00e9n un l-estad\u00edstico basado en la descomposici\u00f3n de la correlaci\u00f3n m\u00e1ima que da lugar al test m\u00e1s potente para contrastar una hip\u00f3tesis nula simple (equivalentemente, una hipesis de uniformid<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Bondad de ajuste basada en la descomposicion de la correlacion maxima.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Bondad de ajuste basada en la descomposicion de la correlacion maxima. <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Aurea Grane Chavez <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Barcelona<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/01\/1999<\/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>Jos\u00e9 Fortiana Gregori<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: carles m Cuadras avellana <\/li>\n<li>wenceslao Gonz\u00e1lez manteiga (vocal)<\/li>\n<li>Carlos Matran bea (vocal)<\/li>\n<li>Jos\u00e9 Mar\u00eda Oller sala (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Aurea Grane Chavez Se proponen tre estad\u00edsticos de bondad de ajuste basados en la correlaci\u00f3n m\u00e1xima de [&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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