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Simultaneous Shewhart-Type Charts for the Mean and the Variance of a Time Series

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Frontiers in Statistical Quality Control 6

Part of the book series: Frontiers in Statistical Quality Control ((FSQC,volume 6))

Abstract

We introduce simultaneous control charts for the mean and the variance of a time series. Our schemes are extensions of the well-known Shewhart charts for independent variables. We consider a modified X-S2-chart, a modified X-R-chart, a residual X-S2-chart and a residual X-R-chart. A comparison of these schemes is made by means of the average run length. It turns out that residual schemes lead to better results. For nearly all parameter combinations the residual X-S2-chart is found to be the best control design.

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References

  1. Alwan, L.C. & Roberts, H.V. (1988) Time series modeling for statistical process control. Journal of Business and Economic Statistics687–95

    Google Scholar 

  2. Amin, R., Frank, O. & Schmid, W. (1997) The effects of autocorrelation on the R—chart and the S2—chart. Sankhya, Ser B 59, Part 2, 229–255

    Google Scholar 

  3. Domangue, R. & Patch, S.C. (1991) Some omnibus exponentially weighted moving average statistical process monitoring schemes. Technometrics 33 299–314

    Article  MATH  Google Scholar 

  4. Gan, F.F. (1995) Joint monitoring of process mean and variance using exponentially weighted moving average control charts. Technometrics 37 446–453

    Article  MATH  Google Scholar 

  5. Harris, T.J. & Ross, W.H. (1991) Statistical process control procedures for correlated observations. Canadian Journal of Chemical Engineering 69 48–57

    Article  Google Scholar 

  6. Kanagawa, A. & Arizono, I. (1997) Design of the (æ, s) control chart based on Kullback—Leibler information. In: Frontiers in Statistical Quality Control 5 Lenz, H.-J. & Wilrich, P.-Th. (Eds.), Physica-Verlag, Heidelberg, Germany, 183–192

    Chapter  Google Scholar 

  7. Knoth, S., Schmid, W. & Schöne, A. (1998) Simultaneous Shewhart—Type Charts for the Mean and the Variance of a Time Series. Technical Report 107, Europe—University Frankfurt (Oder), Germany

    Google Scholar 

  8. Kramer, H. & Schmid, W. (1997) EWMA charts for multivariate time series. Sequential Analysis 16 131–154

    Article  MATH  MathSciNet  Google Scholar 

  9. Kramer, H. & Schmid, W. (1998) On the average delay of control schemes. In: E. von Collani et al. (Eds.), Advances in Stochastic Models for Reliability, Quality, and Safety, Birkhäuser, Boston

    Google Scholar 

  10. Lu, C.W. & Reynolds, Jr. M.R. (1998) Control charts for monitoring the mean and variance of autocorrelated processes. To appear in Journal of Quality Technology

    Google Scholar 

  11. MacGregor, J.F. & Harris, T.J. (1994) The exponentially weighted moving variance. Journal of Quality Technology 25 106–118

    Google Scholar 

  12. Mathai, A. & Provost, S.B. (1992) Quadratic Forms in Random Variables: Theory and Applications. Marcel Dekker, Inc., New York

    MATH  Google Scholar 

  13. Mittag, J.-H. & Stemann, D. (1997) Gage imprecision effect on the performance of the X—S control chart. Technical Report, Fernuniversität Hagen, Germany

    Google Scholar 

  14. Montgomery, D. (1991) Introduction to Statistical Quality Control. Wiley, New York

    Google Scholar 

  15. Schöne, A. & Schmid, W. (1998) On the joint distribution of a quadratic and a linear form in normal variables. To appear in Journal of Multivariate Analysis

    Google Scholar 

  16. Schöne, A. (1997) Neue Entwicklungen der Statistischen Prozeßkontrolle bei korrelierten Daten. PhD thesis, University of Ulm, Germany

    Google Scholar 

  17. Schmid, W. (1995) On the run length of a Shewhart chart for correlated data. Statistical Papers 36 111–130

    Article  MATH  MathSciNet  Google Scholar 

  18. Schmid, W. (1997a) On EWMA charts for time series. In: Frontiers of Statistical Quality Control 5 Lenz, H.-J. & Wilrich, P.-Th. (Eds.), Physica-Verlag, Heidelberg, Germany, 115–137

    Chapter  Google Scholar 

  19. Schmid, W. (1997b) CUSUM control schemes for Gaussian processes. Statistical Papers 38 191–217

    Article  MATH  Google Scholar 

  20. Stemann, D. (1997) Qualitätsregelkarten des Shewhart— and EWMA—Typs. PhD thesis, University of Dortmund, Germany

    Google Scholar 

  21. Vasilopoulos, A.V. & Stamboulis, A.P. (1978) Modification of control chart limits in the presence of data correlation. Journal of Quality Technology 10, 20–30

    Google Scholar 

  22. Vander Wiel, S.A. (1996) Monitoring processes that wander using integrated moving average models. Technometrics 38 139–151

    Article  MATH  Google Scholar 

  23. Wardell, D.G., Moskowitz, H. & Plante, R.D. (1994) Run—length distributions of special—cause control charts for correlated processes. Technometrics 36 3–27

    Article  MATH  MathSciNet  Google Scholar 

  24. Yashchin, E. (1993) Performance of CUSUM control schemes for serially correlated observations. Technometrics 35 35–52

    Article  MathSciNet  Google Scholar 

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© 2001 Springer-Verlag Berlin Heidelberg

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Knoth, S., Schmid, W., Schöne, A. (2001). Simultaneous Shewhart-Type Charts for the Mean and the Variance of a Time Series. In: Lenz, HJ., Wilrich, PT. (eds) Frontiers in Statistical Quality Control 6. Frontiers in Statistical Quality Control, vol 6. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57590-7_5

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  • DOI: https://doi.org/10.1007/978-3-642-57590-7_5

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1374-6

  • Online ISBN: 978-3-642-57590-7

  • eBook Packages: Springer Book Archive

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