Abstract
Traditional control chart procedures process the information in the time sequence plot of successive values of the control variable. In this paper we consider a control chart procedure that uses the sequential ranks of the observations. The sequential rank of an observation is defined as its rank among the most recent g observations. A control chart technique that considers exponentially weighted moving averages (EWMA) of sequential ranks is proposed. This new nonparametric technique is outlier-resistant, and it performs well if one is concerned about slowly trending process levels.
Original language | English |
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Pages (from-to) | 423-443 |
Number of pages | 21 |
Journal | Communications in Statistics. Simulation and Computation |
Volume | 21 |
Issue number | 2 |
Publication status | Published - 1992 |