EWMA Chart and Measurement Error
AbstractMeasurement 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.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 6392.
Date of creation: 2004
Date of revision:
Publication status: Published in Journal of Applied Statistics 4.31(2004): pp. 445-455
Exponentially weighted moving average control chart; Average run length; Average time to signal; Measurement error; Markov chain; Statistical process control;
Other versions of this item:
- Petros Maravelakis & John Panaretos & Stelios Psarakis, 2004. "EWMA Chart and Measurement Error," Journal of Applied Statistics, Taylor & Francis Journals, Taylor & Francis Journals, vol. 31(4), pages 445-455.
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- G. Robin Henderson, 2001. "EWMA and industrial applications to feedback adjustment and control," Journal of Applied Statistics, Taylor & Francis Journals, Taylor & Francis Journals, vol. 28(3-4), pages 399-407.
- E. Andersson & D. Bock & M. Frisen, 2006. "Some statistical aspects of methods for detection of turning points in business cycles," Journal of Applied Statistics, Taylor & Francis Journals, Taylor & Francis Journals, vol. 33(3), pages 257-278.
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