| CUSUM chart | |
|---|---|
| Originally proposed by | E. S. Page |
| Process observations | |
| Rational subgroup size | n = 1 |
| Measurement type | Cumulative sum of a quality characteristic |
| Quality characteristic type | Variables data |
| Underlying distribution | Normal distribution |
| Performance | |
| Size of shift to detect | ≤ 1.5σ |
| Process variation chart | |
| Not applicable | |
| Process mean chart | |
| Center line | The target value, T, of the quality characteristic |
| Upper control limit | |
| Lower control limit | |
| Plotted statistic | |
In statistical quality control, the CUSUM (or cumulative sum control chart) is a sequential analysis technique developed by E. S. Page of the University of Cambridge. It is typically used for monitoring change detection. CUSUM was announced in Biometrika, in 1954, a few years after the publication of Wald's SPRT algorithm.
Page referred to a "quality number" , by which he meant a parameter of the probability distribution; for example, the mean. He devised CUSUM as a method to determine changes in it, and proposed a criterion for deciding when to take corrective action. When the CUSUM method is applied to changes in mean, it can be used for step detection of a time series.
A few years later, George Alfred Barnard developed a visualization method, the V-mask chart, to detect both increases and decreases in .