Browsing by Subject "likelihood ratio test"

Now showing items 1-2 of 2

    • Monitoring multivariate coefficient of variation for high-dimensional processes 

      Adegoke, Nurudeen A.; Dawod, Abdaljbbar; Adeoti, Olatunde Adebayo; Sanusi, Ridwan A.; Abbasi, Saddam Akber ( John Wiley and Sons Ltd , 2022 , Article)
      Multivariate coefficient of variation (MCV) charts are effective tools for monitoring process relative variability. They are developed on the assumption that the process subgroup size available for monitoring the MCV ...

    • Multivariate statistical process control charts based on the approximate sequential ?2 test 

      Kim, J.; Al-Khalifa, K.N.; Jeong, M.K.; Hamouda, A.M.S.; Elsayed, E.A. ( Taylor and Francis Ltd. , 2014 , Article)
      Similar to the univariate CUSUM chart, a multivariate CUSUM (MCUSUM) chart can be designed to detect a particular size of the mean shift optimally based on the scheme of a sequential likelihood ratio test for the noncentrality ...