EWMA Chart and Measurement Error
Measurement error is a usually met distortion factor in real-world applications that influences the outcome of a process. In this paper, we examine the effect of measurement error on the ability of the EWMA control chart to detect out-of-control situations. The model used is the one involving linear covariates. We investigate the ability of the EWMA chart in the case of a shift in mean. The effect of taking multiple measurements on each sampled unit and the case of linearly increasing variance are also examined. We prove that, in the case of measurement error, the performance of the chart regarding the mean is significantly affected.
|Date of creation:||2004|
|Date of revision:|
|Publication status:||Published in Journal of Applied Statistics 4.31(2004): pp. 445-455|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
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- G. Robin Henderson, 2001. "EWMA and industrial applications to feedback adjustment and control," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(3-4), pages 399-407.
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