Monitoring Processes that Wander Using Integrated Moving Average Models

@inproceedings{Wiel1995MonitoringPT,
  title={Monitoring Processes that Wander Using Integrated Moving Average Models},
  author={Scott A. Vander Wiel},
  year={1995}
}
Often the least appropriate assumption in traditional control charting technology is that process data constitute a random sample. In reality most process data are correlated—either temporally, spatially, or due to nested sources of variation. One approach to monitoring temporally correlated data uses a control chart on the forecast errors from a time… CONTINUE READING