• DocumentCode
    3576653
  • Title

    One Hotelling T2 chart based on transformed data for simultaneous monitoring the frequency and magnitude of an event

  • Author

    Cheng, Y. ; Mukherjee, A.

  • Author_Institution
    Dept. of Syst. Eng. & Eng. Manage., City Univ. of Hong Kong, Hong Kong, China
  • fYear
    2014
  • Firstpage
    764
  • Lastpage
    768
  • Abstract
    Commonly, the event frequency and event magnitude have the dependence feature. However, previous research about event monitoring always assume they are independent variables. This assumption is not reasonable in most real applications. Taken the dependence feature into consideration, we introduce a typical bivariate gamma distribution with certain dependence structure. Based on this distribution, a kind of Hotelling T2 chart based on the transformed data is constructed for jointly monitoring of the shifts in the frequency and the magnitude of an event. An illustrative example based on a real data is provided to show the implementation of this chart. With Monte Carlo simulation, the performance of this proposed chart is studied.
  • Keywords
    Monte Carlo methods; control charts; gamma distribution; statistical process control; Hotelling T2 chart; Monte Carlo simulation; bivariate gamma distribution; dependence feature; dependence structure; event frequency monitoring; event magnitude monitoring; event shifts monitoring; simultaneous monitoring; statistical process control; Control charts; Floods; Frequency control; Joints; Monitoring; Reliability; Time-frequency analysis; Bivariate Gamma; Event Frequency; Event Magnitude; Hotelling T2 Chart; Multivariate Control Chart; Statistical Process Control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/IEEM.2014.7058741
  • Filename
    7058741