This note presents preliminary results on the average run length (ARL) of a Cumulative Sum Control Chart (CUSUM) used to monitor defects or counts, when the count distribution is Neyman Type‐A. The ARL for this distribution is contrasted to the more customary Poisson model for counts or defects. We show that the ARL curve of a Neyman Type‐A CUSUM always lies below the ARL curve of a Poisson CUSUM.
- Average run lengths CUSUM
- Poisson distribution
- Type A distribution
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Management Science and Operations Research