{"id":59825,"date":"2007-10-07T00:00:00","date_gmt":"2007-10-07T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/caracteritzacio-de-distribucions-de-recompte-amb-aplicacions\/"},"modified":"2007-10-07T00:00:00","modified_gmt":"2007-10-07T00:00:00","slug":"caracteritzacio-de-distribucions-de-recompte-amb-aplicacions","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/caracteritzacio-de-distribucions-de-recompte-amb-aplicacions\/","title":{"rendered":"Caracteritzaci\u00f3 de distribucions de recompte amb aplicacions"},"content":{"rendered":"<h2>Tesis doctoral de <strong>  Valero I Bay\u00c1\u00a0 Jordi <\/strong><\/h2>\n<p>La tesis es compendio de los siguientes art\u00edculos: puig, p. And valero, j. (2006). Count data distributions: some characterizations with applications. J. Amer. Statist. Assoc., 101, 332&#8211;340. puig, p. And valero, j. (2007). Characterization of count data distributions involving additivity and binomial subsampling. Bernoulli, 13(2), 544&#8211;555. en ambos se caracterizan modelos de distribuciones de recuento que cumplen algunas condiciones como ser cerrados por la adici\u00f3n, o que la media muestral sea el estimador de m\u00e1xima verosimilitud de la esperanza, u otras que se definen en dichos art\u00edculos. en el articulo \u00abcount data distributions: some characterizations with applications\u00bb,  caracterizamos todos los modelos biparam\u00e9tricos de distribuciones de recuento (cumpliendose algunas condiciones t\u00e9cnicas muy generales) que son parcialmente cerrados por la adici\u00f3n. Tambi\u00e9n encontramos aquellos para los que el estimador de m\u00e1xima verosimilitud de la media poblacional es la media muestral. As\u00ed mismo, quedan completamente determinados los modelos mixed poisson que cumplen estas propiedades. Entre estos modelos se encuentran los binomial negativa, poisson-inversa gaussiana y otros que tambi\u00e9n est\u00e1n formados por distribuciones conocidas. Tambi\u00e9n se pueden construir nuevas distribuciones usando las t\u00e9cnicas empleadas en estas caracterizaciones. Se muestran tres ejemplos de aplicaciones de los resultados te\u00f3ricos de este trabajo. en el art\u00edculo \u00abcharacterization of count data distributions involving additivity and binomial subsampling\u00bb, caracterizamos todas las familias r-param\u00e9tricas de distribuciones de recuento (bajo algunas condiciones t\u00e9cnicas muy gen\u00e9ricas) que son cerradas por adici\u00f3n y por binomial subsampling. Sorprendentemente, hay pocas familias que satisfagan ambas condiciones y las familias resultantes consisten en los modelos univariantes de hermite de orden r. Entre estos encontramos las poisson (r=1) y las distribuciones de hermite ordinarias<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Caracteritzaci\u00f3 de distribucions de recompte amb aplicacions<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Caracteritzaci\u00f3 de distribucions de recompte amb aplicacions <\/li>\n<li><strong>Autor:<\/strong>\u00a0  Valero I Bay\u00c1\u00a0 Jordi <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Aut\u00f3noma de barcelona<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 10\/07\/2007<\/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>Pedro Puig Casado<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: frederic Utzet civit <\/li>\n<li>Jos\u00e9 Mar\u00eda Oller sala (vocal)<\/li>\n<li>carles m Cuadras avellana (vocal)<\/li>\n<li>Marta P\u00e9rez casany (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Valero I Bay\u00c1\u00a0 Jordi La tesis es compendio de los siguientes art\u00edculos: puig, p. And valero, j. [&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":[126],"tags":[21861,49502,59084,96388,87500,132137],"class_list":["post-59825","post","type-post","status-publish","format-standard","hentry","category-matematicas","tag-carles-m-cuadras-avellana","tag-frederic-utzet-civit","tag-jose-maria-oller-sala","tag-marta-perez-casany","tag-pedro-puig-casado","tag-valero-i-baya-jordi"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/59825","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=59825"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/59825\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=59825"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=59825"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=59825"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}