Monitoring the Linear Part of the Kernel Semi-Parametric Model Based on EWMA Control Charts

This paper focuses on monitoring the coefficient estimates of kernel semi-parametric models using exponentially weighted moving average (EWMA) control charts. The kernel semi-parametric model can adapt to the complexity of the data and is widely used in the fields of survival analysis and biostatistics, etc. Using EWMA control charts to monitor it, we can monitor the stability of the process and detect small drifts in the process. This allows the operator to detect and take appropriate measures to adjust and improve the process during the actual production.