{"id":27807,"date":"2018-03-09T09:20:14","date_gmt":"2018-03-09T09:20:14","guid":{"rendered":""},"modified":"2018-03-09T09:20:14","modified_gmt":"2018-03-09T09:20:14","slug":"calculo-compensacion-e-interpretacion-de-resultados-en-redes-locales-de-alta-precision-observadas-por-gps-y-topografa%c2%ada-clasica-con-aplicacion-de-analisis-estada%c2%adstico-multivariante-y-tecni","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/politecnica-de-valencia\/calculo-compensacion-e-interpretacion-de-resultados-en-redes-locales-de-alta-precision-observadas-por-gps-y-topografa%c2%ada-clasica-con-aplicacion-de-analisis-estada%c2%adstico-multivariante-y-tecni\/","title":{"rendered":"C\u00e1lculo, compensaci\u00f3n e interpretaci\u00f3n de resultados en redes locales de alta precisi\u00f3n observadas por gps y topograf\u00edacl\u00e1sica con aplicaci\u00f3n de an\u00e1lisis estad\u00edstico multivariante y t\u00e9cnicas de estimaci\u00f3n robusta"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Sergio Baselga Moreno <\/strong><\/h2>\n<p>La presente tesis trata el problema de la construcci\u00f3n de un modelo riguroso para la compensaci\u00f3n conjunta de redes locales con observables topogr\u00e1ficos cl\u00e1sicos y gps.  algunas dificultades cl\u00e1sicas, como la exigencia del modelo estad\u00edstico gauss-markov de que las observaciones sean independientes -condici\u00f3n que en el caso presente no se cumple- han sido totalmente superadas. Otros problemas, como la desmesurada influencia de los errores groseros o sistem\u00e1ticos sobre todos los resultados m\u00ednimo-cuadr\u00e1ticos o la definici\u00f3n de los recientos m\u00e1s generales y rigurosos de incertidumbre de la red, han sido tratados de un modo mucho m\u00e1s satisfactorio. En todo ello intervienen tanto el an\u00e1lisis multivariante como las t\u00e9cnicas de estimaci\u00f3n robusta.  finalmente, se desarrolla una aplicaci\u00f3n inform\u00e1tica propia, red3d(r), para la compensaci\u00f3n tridimensional de este tipo de redes conjuntas con aplicaci\u00f3n de toda la teor\u00eda y formulaci\u00f3n desarrolladas.  con esta aplicaci\u00f3n se decide compensar dos redes de ejemplo, cada una de ellas bajo un n\u00famero de distintos supuestos. Los resultados muestran la correcci\u00f3n y capacidades del modelo propuesto.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>C\u00e1lculo, compensaci\u00f3n e interpretaci\u00f3n de resultados en redes locales de alta precisi\u00f3n observadas por gps y topograf\u00edacl\u00e1sica con aplicaci\u00f3n de an\u00e1lisis estad\u00edstico multivariante y t\u00e9cnicas de estimaci\u00f3n robusta<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 C\u00e1lculo, compensaci\u00f3n e interpretaci\u00f3n de resultados en redes locales de alta precisi\u00f3n observadas por gps y topograf\u00edacl\u00e1sica con aplicaci\u00f3n de an\u00e1lisis estad\u00edstico multivariante y t\u00e9cnicas de estimaci\u00f3n robusta <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Sergio Baselga Moreno <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Valencia<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 17\/12\/2003<\/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>Manuel Chueca Pazos<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Francisco Garc\u00eda Garc\u00eda <\/li>\n<li> S\u00e1nchez fern\u00e1ndez benjam\u00edn Luis (vocal)<\/li>\n<li> Machado cerqueira bastos Mar\u00eda Luisa (vocal)<\/li>\n<li> Gil cruz Antonio  Jos\u00e9 (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Sergio Baselga Moreno La presente tesis trata el problema de la construcci\u00f3n de un modelo riguroso para [&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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