A Comparative Study of Self-Starting CUSUM Control Charts for Detecting Location Shifts in Normally Distributed Data

Self-starting CUSUM control charts, specifically the Bayesian Predictive Ratio CUSUM (PRC) and the frequentist Self-Starting CUSUM (SSC), demonstrate comparable performance in detecting location shifts in normally distributed data, with the effectiveness of each method influenced by factors like the magnitude of the shift, the timing of the shift, and the availability of prior information.