{"id":14268,"date":"2025-07-15T13:34:47","date_gmt":"2025-07-15T13:34:47","guid":{"rendered":"https:\/\/functiontranslator.com\/distr-weibull\/"},"modified":"2021-02-26T09:01:44","modified_gmt":"2021-02-26T09:01:44","slug":"weibull-dist","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/es\/weibull-dist\/","title":{"rendered":"DISTR.WEIBULL"},"content":{"rendered":"

Descripci\u00f3n General<\/h2>\n

La funci\u00f3n WEIBULL.DIST en Microsoft Excel y DISTR.WEIBULL en Google Sheets se emplea para calcular la distribuci\u00f3n de Weibull, una distribuci\u00f3n continua de probabilidad que es com\u00fanmente utilizada en estudios de fiabilidad y an\u00e1lisis de vida \u00fatil. Esta funci\u00f3n es especialmente \u00fatil en campos como la ingenier\u00eda, las ciencias de la salud y los estudios demogr\u00e1ficos, entre otros.<\/p>\n

Sintaxis y Ejemplos<\/h2>\n

La sintaxis de la funci\u00f3n WEIBULL.DIST es:<\/p>\n

WEIBULL.DIST(x, alfa, beta, acumulativo)<\/code><\/pre>\n
Donde:<\/p>\n
    \n
  • x<\/code> representa el valor al que se eval\u00faa la funci\u00f3n.<\/li>\n
  • alfa<\/code> es un par\u00e1metro de la distribuci\u00f3n que especifica la escala.<\/li>\n
  • beta<\/code> es un par\u00e1metro de la distribuci\u00f3n que especifica la forma.<\/li>\n
  • acumulativo<\/code> es un valor l\u00f3gico que define el c\u00e1lculo de la funci\u00f3n: si es VERDADERO (TRUE), devuelve la funci\u00f3n de distribuci\u00f3n acumulativa; si es FALSO (FALSE), devuelve la funci\u00f3n de densidad de probabilidad.<\/li>\n<\/ul>\n
    Ejemplo Pr\u00e1ctico 1: An\u00e1lisis de Fiabilidad<\/h2>\n
    Consideremos el caso en el que deseamos calcular la probabilidad de que un componente electr\u00f3nico falle antes de completar 1500 horas de funcionamiento, asumiendo que su vida \u00fatil se distribuye de acuerdo a Weibull con un alfa de 500 y un beta de 1.5.<\/p>\n
    Soluci\u00f3n:<\/p>\n
    =WEIBULL.DIST(1500, 500, 1.5, TRUE)<\/code><\/pre>\n
    Este c\u00e1lculo proporciona la probabilidad acumulativa de fallo antes de las 1500 horas. Al utilizar TRUE en el cuarto argumento, estamos solicitando la distribuci\u00f3n acumulativa.<\/p>\n
    Ejemplo Pr\u00e1ctico 2: An\u00e1lisis de Duraci\u00f3n de Vida<\/h2>\n
    En este ejemplo, buscamos la densidad de probabilidad de que un fallo ocurra precisamente a las 2000 horas, con los mismos par\u00e1metros del ejemplo anterior (alfa = 500 y beta = 1.5):<\/p>\n
    Soluci\u00f3n:<\/p>\n
    =WEIBULL.DIST(2000, 500, 1.5, FALSE)<\/code><\/pre>\n
    Este comando calcula la densidad de probabilidad a las 2000 horas. Configurando el \u00faltimo par\u00e1metro como FALSO, pedimos espec\u00edficamente la funci\u00f3n de densidad de probabilidad, no la acumulativa.<\/p>\n
    Consejos y Observaciones<\/h2>\n
      \n
    • La funci\u00f3n WEIBULL.DIST es muy sensible a los valores de los par\u00e1metros alfa y beta, por lo que peque\u00f1as alteraciones en estos pueden cambiar significativamente los resultados.<\/li>\n
    • Es crucial asegurarse de que los valores introducidos para x, alfa y beta sean positivos, ya que valores negativos generar\u00e1n errores.<\/li>\n
    • El par\u00e1metro acumulativo ofrece la versatilidad de usar la funci\u00f3n para c\u00e1lculos tanto de probabilidades acumulativas como de densidades de probabilidad, dependiendo de las necesidades del an\u00e1lisis.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"
      Devuelve la distribuci\u00f3n de Weibull<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[540],"tags":[],"class_list":["post-14268","post","type-post","status-publish","format-standard","hentry","category-estadistica"],"acf":[],"yoast_head":"\nFunci\u00f3n WEIBULL.DIST (DISTR.WEIBULL) en Excel \u2013 c\u00f3mo funciona, ejemplos y sintaxis<\/title>\n<meta name=\"description\" content=\"Explicaci\u00f3n breve de la funci\u00f3n WEIBULL.DIST (DISTR.WEIBULL) de Excel. 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