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Abstract
A lower-sided and an upper-sided exponentially weighted moving average (EWMA) chart for detecting mean changes (decreases and increases) in processes characterized by Weibull distributions are developed in this paper when censoring occurs at a fixed level. We show that the lower-sided EWMA chart performs better than its counterpart, the Shewhart-type; that a Shewhart-type chart is not appropriate to detect mean increases when the censoring rate is high; and that the upper-sided EWMA chart works well in detecting mean increases.
Additional information
Notes on contributors
Lingyun Zhang
Dr. Zhang is a postdoctoral fellow in the Institute of Information Sciences and Technology. His email address is [email protected].
Gemai Chen
Dr. Chen is a Professor in the Department of Mathematics and Statistics. He is a member of ASQ. His email address is [email protected].
