Control charts for Poisson count data with varying sample sizes
Anne G. Ryan, William H. Woodall
Abstract
Anne G. Ryan, William H. Woodall
Abstract
The ability of cumulative sum control (CUSUM) and exponentially weighted moving average (EWMA) control charts to detect increases in the Poisson rate is evaluated by calculating the steady-state average run length performance for the charts. Results ind..
OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The ability of cumulative sum control (CUSUM) and exponentially weighted moving average (EWMA) control charts to detect increases in the Poisson rate is evaluated by calculating the steady-state average run length performance for the charts. Results ind..
Key concepts: CUSUM, EWMA chart, Control chart, Count data, Poisson distribution, Statistics, Sample size determination, Poisson regression