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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 36, 2004 - Issue 4
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Articles

Multivariate Control Charts for Monitoring Autocorrelated Processes

Pages 367-379 | Published online: 16 Feb 2018

References

  • Alwan, A. J. and Alwan, L. C. (1994). “Monitoring Autocorrelated Processes Using Multivariate Quality Control Charts”. Proceedings of the Decision Sciences Institute Annual Meeting 3, pp. 2106–2108.
  • Alwan, L. C. and Roberts, H. V. (1988). “Time-Series Modeling for Statistical Process Control”. Journal of Business and Economic Statistics 6, pp. 87–95.
  • Anderson, T. W. (1984). An Introduction of Multivariate Statistical Analysis, 2nd ed. Wiley, New York.
  • Apley, D. W. and Shi, J. (1999). “The GLRT for Statistical Process Control of Autocorrelated Processes”. IIE Transactions 31, pp. 1123–1134.
  • Apley, D. W. and Tsung, F. (2002). “The Autoregressive T2 Chart for Monitoring Univariate Autocorrelated Processes”. Journal of Quality Technology 34, pp. 80–96.
  • Brook, D. and Evans, D. A. (1972). “An Approach to the Probability Distribution of CUSUM Run Lengths”. Biometrika 59, pp. 539–549.
  • Hawkins, D. M. (1991). “Multivariate Quality Control Using Regression-Adjusted Variables”. Technometrics 33, pp. 61–75.
  • Healy, J. D (1987). “A Note on Multivariate CUSUM Procedures”. Technometrics 29, pp. 409–412.
  • Jiang, W. (2001). “Average Run Length Computation of ARMA Charts for Stationary Processes”. Communications in Statistics: Simulation and Computation 30(3), pp. 699–716.
  • Jiang, W.; Wu, H.; Tsung, F.; Nair, V. N.; and Tsui, K.-L. (2002). “PID Charts for Process Monitoring”. Technometrics 44, pp. 205–214.
  • Krieger, C. A.; Champ, C. W.; and Alwan, L. C. (1992). “Monitoring an Autocorrelated Process”. Modeling and Simulation Part 1: Economics, Regional Sciences, Neural Nets, Mathematics, Statistics, Business, Urban Systems pp. 71–78.
  • Lehmann, E. L. (1991). Testing Statistical Hypotheses, 2nd ed. Pacific Grove: Wadsworth & Brooks.
  • Lu, C. W. and Reynolds, M. R., Jr. (1999). “EWMA Control Charts for Monitoring the Mean of Autocorrelated Processes”. Journal of Quality Technology 31, pp. 166–168.
  • Mason, R. L.; Tracy, N. D.; and Young, J. C. (1995). “Decomposition of T2 for multivariate control chart interpretation”. Journal of Quality Technology 27, pp. 99–108.
  • Montgomery, D. C. and Mastrangelo, C. M. (1991). “Some Statistical Process Control Methods for Autocorrelated Data”. Journal of Quality Technology 23, pp. 179–204.
  • Runger, G. C.; Willemain, T. R.; and Prabhu, S. (1995). “Average Run Lengths for CUSUM Control Charts Applied to Residuals”. Communications in Statistics: Theory and Methods 24, pp. 273–282.
  • Vander Wiel, S. A. (1996). “Monitoring Processes that Wander Using Integrated Moving Average Models”. Technometrics 38, pp. 139–151.
  • Woodall, W. H. (1983). “The Distribution of The Run Length of One-Sided CUSUM Procedures for Continuous Random Variables”. Technometrics 25, pp. 295–301.

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