{"id":38199,"date":"1998-02-06T00:00:00","date_gmt":"1998-02-06T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/tecnicas-inferenciales-basadas-en-indices-de-diversidad\/"},"modified":"1998-02-06T00:00:00","modified_gmt":"1998-02-06T00:00:00","slug":"tecnicas-inferenciales-basadas-en-indices-de-diversidad","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/tecnicas-inferenciales-basadas-en-indices-de-diversidad\/","title":{"rendered":"Tecnicas inferenciales basadas en indices de diversidad."},"content":{"rendered":"<h2>Tesis doctoral de <strong> Sergi Vives Civit <\/strong><\/h2>\n<p>Atendiendo a la heterogeneidad de problemas a los que se han aplicado los \u00edndices de diversidad, han aparecido un gran n\u00famero de ellos en la literatura. En este sentido, salicr\u00fa et al (1993), plantearon como interesante el estudio de las medidas citadas a partir de un \u00fanico funcional. Asimismo y en estudios posteriores determinaron la distribuci\u00f3n asint\u00f3tica, y obtuvieron estad\u00edsticos y criterios de decisi\u00f3n, con el fin de comparar diversidades.  a partir de la consideraci\u00f3n de los estad\u00edsticos que se obtienen del desarrollo de taylor de primer y segundo orden del (h,0)-diversidad, planteamos en esta memoria el estudio de la precisi\u00f3n de la estimaci\u00f3n en tama\u00f1os de muestra reducidos. En primer lugar, hemos establecido el estudio de la velocidad de convergencia del estimador asint\u00f3tico a la distribuci\u00f3n normal, cuyos resultados nos llevaron a obtener los momentos exactos para las entrop\u00edas de havrda-charvat de grado alfa siendo alfa natural, y los momentos asociados al funcional (h,0)-diversidad con la precisi\u00f3n deseada, a partir de la consideraci\u00f3n del desarrollo de taylor. A continuaci\u00f3n, planteamos el caso de entrop\u00eda m\u00e1xima y una aproximaci\u00f3n al proceso infecial a partir de los estudios del intervalo de confianza, proponiendo en ambos estudios nuevas alternativas que mejoraban los estad\u00edsticos asint\u00f3ticos provenientes del funcional. Finalmente y en forma de t\u00f3picos, hemos presentado un algoritmo de clasificaci\u00f3n basado en criterios de minimizaci\u00f3n del incremento de la diversidad, un algoritmo que permite obtener el tama\u00f1o muestral en relaci\u00f3n a la biomasa total de un sistema ecol\u00f3gico, como asi tambi\u00e9n unas primeras aproximaciones a mejorar el comportamiento del estad\u00edstico asint\u00f3tico en el contraste de hip\u00f3tesis de igualdad de r-diversidades.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Tecnicas inferenciales basadas en indices de diversidad.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Tecnicas inferenciales basadas en indices de diversidad. <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Sergi Vives Civit <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Barcelona<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 02\/06\/1998<\/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>Miquel Salicru Pages<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Jos\u00e9 Mar\u00eda Oller sala <\/li>\n<li>pedro Moral castrillo (vocal)<\/li>\n<li>Jos\u00e9 Casanovas Garc\u00eda (vocal)<\/li>\n<li>leandro Pardo (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Sergi Vives Civit Atendiendo a la heterogeneidad de problemas a los que se han aplicado los \u00edndices [&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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