The EWMA control chart is used to detect small shifts in a process. It has been shown that, for certain values of the smoothing parameter, the EWMA chart for the mean is robust to non normality. In this article, we examine the case of non normality in the EWMA charts for the dispersion. It is shown that we can have an EWMA chart for dispersion robust to non normality when non normality is not extreme.
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Publisher Info
Paper provided by University Library of Munich, Germany in its series MPRA Paper with number
6396.
Length: Date of creation: 2005 Date of revision: Publication status: Published in Communications in Statistics, Simulation and Computation 4.34(2005): pp. 1069-1079 Handle: RePEc:pra:mprapa:6396