J. E. Ruiz Castro, C. J. Acal González, E. M. Contreras Siles

En este trabajo se presenta una nueva metodología para la enseñanza y aprendizaje de las distribuciones tipo fase (PHD). Para ello se utiliza el paquete Shiny de R-cran, el cual facilita la creación de aplicaciones web interactivas directamente desde R. Con la ayuda de este paquete se analiza el comportamiento de la distribución tipo fase con diferentes estructuras como la distribución Exponencial, Erlang, Coxiana, etc. Se presenta también de forma interactiva la estimación de diversas estructuras tipo fase a un conjunto de datos, considerando distintas metodologías de estimación, con el paquete Mapfit. El estudio desarrollado permite comparar de forma simultánea el ajuste gráfico de distintas PHD, así como la estimación de parámetros y la bondad de ajuste. Este estudio se extiende al caso de las PHD con un punto de corte, las cuales permiten reducir el número de fases en la estimación y/o solucionar la falta de ajuste en las colas de la distribución.

Keywords: Distribuciones tipo-fase; enseñanza; shiny; R-cran.


GT05 Teaching and Learning of Statistics and Operations Research. Teaching for new realities. Tools and challenges II
June 7, 2022  3:30 PM

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