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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 29, 1997 - Issue 1
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Articles

Designing a Multivariate EWMA Control Chart

Sharad S. PrabhuSAS Institute, Cary, NC27513View further author information
&
George C. RungerArizona State University, Tempe, AZ85287-5906View further author information
Pages 8-15 | Published online: 21 Feb 2018

References

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  • Crosier, R. B. (1988). “Multivariate Generalizations of Cumulative Sum Quality Control Schemes”. Technometrics 30, pp. 291–303.
  • Hawkins, D. M. (1992). “Regression Adjustment for Variables in Multivariate Quality Control”. Journal of Quality Technology 25, pp. 170–182.
  • Hotelling, H. H. (1947). “Multivariate Quality Control-Illustrated by the Air Testing of Sample Bombsights” in Techniques of Statistical Analysis edited by C. Eisenhart, M. W. Hastay, and W. A. Wallis. McGraw-Hill, New York, NY. pp. 111–184.
  • Jackson, J. E. (1991). A User's Guide to Principal Components. John Wiley & Sons, New York, NY.
  • Lowry, C. A.; Woodall, W. H.; Champ, C. W.; and Rigdon, S. E. (1992). “Multivariate Exponentially Weighted Moving Average Control Chart”. Technometrics 34, pp. 46–53.
  • Lucas, J. M. and Saccucci, M. S. (1990). “Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements”. Technometrics 32, pp. 1–12.
  • Page, E. S. (1954). “Continuous Inspection Schemes”. Biometrika 14, pp. 100–115.
  • Pignatiello, J. J. and Runger, G. C. (1990). “Comparisons of Multivariate CUSUM Charts”. Journal of Quality Technology 22, pp. 173–186.
  • Prabhu, S. S. and Runger, G. C. (1996). “Analysis of a Two-Dimensional Markov Chain”. Communications in Statistics—Computation and Simulation 25, pp. 75–80.
  • Rigdon, S. E. (1995a). “A Double Integral Equation for the Average Run Length of a Multivariate Exponentially Weighted Moving Average Control Chart”. Statistics and Probability Letters 24, pp. 365–373.
  • Rigdon, S. E. (1995b). “An Integral Equation for the In Control Average Run Length of a Multivariate Exponentially Weighted Moving Average Control Chart”. Journal of Statistical Computation and Simulation 52, pp. 351–365.
  • Roberts, S. W. (1959). “Control Chart Tests Based on Geometric Moving Averages”. Technometrics 1, pp. 239–250.
  • Runger, G. C. and Prabhu, S. S. (1997). “A Markov Chain Model for the Multivariate Exponentially Weighted Moving Average Control Chart”. Journal of the American Statistical Association (to appear).
  • Wierda, S. J. (1994). Multivariate Statistical Process Control. Wolters-Noordhoff, Groningen, The Netherlands.

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