In this paper, we propose new dual MCUSUM (DMCUSUM) and mixed DMCUSUM (MDMCUSUM) charts for monitoring the mean of a multivariate normal process.
In this paper, we propose new dual MCUSUM (DMCUSUM) and mixed DMCUSUM (MDMCUSUM) charts for monitoring the mean of a multivariate normal process.
Jan 20, 2020 · In this paper, using an auxiliary information-based (AIB) mean estimator, we propose dual multivariate CUSUM (DMCUSUM) and mixed DMCUSUM (MDMCUSUM) charts.
The multivariate CUSUM (MCUSUM) chart can be optimally designed to detect a specific shift in the process mean. In practice, the shift sizes are rarely ...
The objective of two multivariate subcharts in the DMCUSUM/MDMCUSUM chart is to simultaneously detect small‐to‐moderate and moderate‐to‐large shifts in the ...
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The objective of two multivariate subcharts in the DMCUSUM/MDMCUSUM chart is to simultaneously detect small‐to‐moderate and moderate‐to‐large shifts in the ...
We consider several distinct approaches for controlling the mean of a multivariate normal process including two new and distinct multivariate CUSUM charts, ...
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This article discusses the multivariate change detection problem and utilizes the kernel function as the statistic to construct the nonparametric Multivariate ...
The objective of two multivariate subcharts in the DMCUSUM/MDMCUSUM chart is to simultaneously detect small‐to‐moderate and moderate‐to‐large shifts in the ...
We propose a new multivariate CUSUM control chart, which is based on self adaption of its reference value according to the information from current process ...