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- W2043376412 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 T <sup xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sup> 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." @default.
- W2043376412 created "2016-06-24" @default.
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- W2043376412 date "2014-12-01" @default.
- W2043376412 modified "2023-09-24" @default.
- W2043376412 title "One Hotelling T<sup>2</sup> chart based on transformed data for simultaneous monitoring the frequency and magnitude of an event" @default.
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- W2043376412 doi "https://doi.org/10.1109/ieem.2014.7058741" @default.
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