{"id":22280,"date":"2018-03-09T09:12:23","date_gmt":"2018-03-09T09:12:23","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/optimizacion-de-las-propiedades-estada%c2%adsticas-del-grafico-de-control-multivariante-newma\/"},"modified":"2018-03-09T09:12:23","modified_gmt":"2018-03-09T09:12:23","slug":"optimizacion-de-las-propiedades-estada%c2%adsticas-del-grafico-de-control-multivariante-newma","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/politecnica-de-valencia\/optimizacion-de-las-propiedades-estada%c2%adsticas-del-grafico-de-control-multivariante-newma\/","title":{"rendered":"Optimizaci\u00f3n de las propiedades estad\u00edsticas del gr\u00e1fico de control multivariante newma"},"content":{"rendered":"<h2>Tesis doctoral de <strong>  Garc\u00eda D\u00edaz Juan  Carlos <\/strong><\/h2>\n<p>Los gr\u00e1ficos de control tipo shewhart (x para la media en el caso univariante y el t2 de hotelling en el caso multivariante) s\u00f3lo tienen en cuenta la informaci\u00f3n acutal del proceso, siendo por tanto pocos potentes para detectar cambios de peque\u00f1a magnitud.  recientemente han sido definidos los gr\u00e1ficos cusum multivariante y ewma multivariante que obtienen mejores valores del arl que el gr\u00e1fico t2 de hotelling para peque\u00f1os y moderados cambios.  sin embargo, se pueden presentar situaciones en las que no resulta interesante detectar cambios de peque\u00f1a magnitud. El intentar ajustar un proceso cuando el cambio en la media es muy peque\u00f1o puede llevar al fen\u00f3meno de sobreajuste y a la introducci\u00f3n de variabilidad extra en el proceso.  debido a todo lo anterior, woodall (1985) propone como criterio de dise\u00f1o estad\u00edstico de gr\u00e1ficos de control el partir, en primer lugar, de la especificaci\u00f3n de los valores del cambio que realmente sean importantes detectar r\u00e1pidamente. para ello, \u00e9l propone definir una regi\u00f3n o regiones que corresponden a estado bajo control, indiferente y fuera de control. A las regiones que corresponden a estado bajo control, indiferente y fuera de control. A las regiones anteriores nosotros las dominamos regiones de m\u00e1xima potencia (estado fuera de control) y m\u00ednima potencia (estado bajo control). Ser\u00eda m\u00e1s interesante decidir que tama\u00f1o de cambio es realmente importante detectar, y en base a ello, seleccionar aquel gr\u00e1fico de control que fuera muy eficiente cuando realmente es necesario, y que tuviera una probabilidad de falsas alarmas realmente baja.  la presente tesis doctoral se centrar\u00e1 en desarrollar gr\u00e1ficos de control univariantes ewma y multivariantes newma que tengan unas propiedades estad\u00edsticas muy interesantes para pdoer detectar cambios realmente importantes y producir un n\u00famero considerablemente bajo de falsas alarmas cuando ocurran cambios que no sea interesante detectar.  los<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Optimizaci\u00f3n de las propiedades estad\u00edsticas del gr\u00e1fico de control multivariante newma<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Optimizaci\u00f3n de las propiedades estad\u00edsticas del gr\u00e1fico de control multivariante newma <\/li>\n<li><strong>Autor:<\/strong>\u00a0  Garc\u00eda D\u00edaz Juan  Carlos <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Valencia<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 27\/03\/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>Francisco Aparisi Garcia<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: andr\u00e9s Carri\u00f3n Garc\u00eda <\/li>\n<li>teresa VillaGarc\u00eda casla (vocal)<\/li>\n<li>roberto Escuder valles (vocal)<\/li>\n<li>pedro Grima cintas (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Garc\u00eda D\u00edaz Juan Carlos Los gr\u00e1ficos de control tipo shewhart (x para la media en el caso [&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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