Monotonic Change Point in MEWMA Control Chart, M.Sc. Thesis Sharif University of Technology ; Akhavan Niaki, Mohammad Taghi (Supervisor)
Abstract
Control charts are the most important tools of statistical quality control. The problem that exists is that control charts do not show the real time the shift in a process started. The real time a change occurs in a process is called the change point. In this research, the monotonic change point in a multivariate normal process is estimated using the maximum likelihood estimation approach, where the process is monitored by a multivariate exponentially weighted moving average scheme. Mote Carlo simulation studies are performed to evaluate the performance of the proposed approach
Cataloging briefMonotonic Change Point in MEWMA Control Chart, M.Sc. Thesis Sharif University of Technology ; Akhavan Niaki, Mohammad Taghi (Supervisor)
Abstract
Control charts are the most important tools of statistical quality control. The problem that exists is that control charts do not show the real time the shift in a process started. The real time a change occurs in a process is called the change point. In this research, the monotonic change point in a multivariate normal process is estimated using the maximum likelihood estimation approach, where the process is monitored by a multivariate exponentially weighted moving average scheme. Mote Carlo simulation studies are performed to evaluate the performance of the proposed approach
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