Date of Award
5-1989
Document Type
Thesis
Degree Name
Master of Science (MS)
Legacy Department
Mathematical Science
Abstract
Four cumulative sum (CUSUM) quality control schemes and an exponentially weighted moving average (EWMA) rule are evaluated empirically by a computer simulation. The average run length (ARL) until an out-of-control signal results is estimated for each scheme at various parameter levels under shifts in mean, shifts in standard deviation, drifts in mean, drifts in standard deviation, and auto-correlation among measurements. Using these ARL's each scheme is judged as to how well it performed under the different conditions.
Recommended Citation
Weller, Glenn D., "Comparison of Five Different Quality Control Schemes via Computer Simulation" (1989). Archived Theses. 216.
https://tigerprints.clemson.edu/arv_theses/216