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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 32, 2000 - Issue 4
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Articles

Phase I Analysis for Autocorrelated Processes

Pages 395-409 | Published online: 20 Feb 2018

References

  • Adams, B. M. and Tseng, I. T. (1998). “Robustness of Forecast-Based Monitoring Systems.” Journal of Quality Technology 30, pp. 328–339.
  • Alwan, L. C. and Roberts, H. V. (1988). “Time Series Modelling for Statistical Process Control.” Journal of Business and Economic Statistics 6, pp. 87–95.
  • Atienza, O. O.; Tang, L. C.; and Ang, B. W. (1998). “A SPC Procedure for Detecting Level Shifts of Autocorrelated Processes”. Journal of Quality Technology 30, pp. 340–351.
  • Barnett, V. and Lewis, T. (1995). Outliers in Statistical Data, 3rd ed. John Wiley & Sons, Chichester, UK.
  • Box, G. E. P.; Jenkins, G. M.; and Reinsel, G. C. (1994). Time Series Analysis: Forecasting and Control, 3rd ed. Holden-Day, San Francisco, CA.
  • Box, G. E. P. and Kramer, T. T. (1992). “Statistical Process Monitoring and Feedback Control—A Discussion” (with discussion). Technometrics 34, pp. 251–285.
  • Box, G. E. P. and Luceño, A. (1997). Statistical Control by Monitoring and Feedback Adjustment. John Wiley & Sons, New York, NY.
  • Boyles, R. A. (1997). “Estimating Common-Cause Sigma in the Presence of Special Causes”. Journal of Quality Technology 29, pp. 381–395.
  • Bustos, O. H. and Yohai, V. J. (1986). “Robust Estimates for ARMA Models”. Journal of the American Statistical Association 81, pp. 155–168.
  • Chan, W. S. (1994). “On Portmanteau Goodness-of-fit Tests in Robust Time Series Modelling”. Computational Statistics 9, pp. 301–310.
  • Chen, C. and Liu, L. M. (1993). “Joint Estimation of Model Parameters and Outlier Effects in Time Series”. Journal of the American Statistical Association 88, pp. 284–297.
  • Chen, C. and Tiao, G. C. (1990). “Random Level-Shift Time Series Models, ARIMA Approximations and Level-Shift Detection”. Journal of Business and Economic Statistics 8, pp. 83–97.
  • Cryer, J. D. and Ryan, T. P. (1990). “The Estimation of Sigma for an X Chart: /d2 or S/c4?”. Journal of Quality Technology 22, pp. 187–192.
  • Faltin, F. W.; Mastrangelo, C. M.; Runger, G. C.; and Ryan, T. P. (1997). “Considerations in the Monitoring of Autocorrelated and Independent Data”. Journal of Quality Technology 29, pp. 131–133.
  • Harris, T. J. and Ross, W. H. (1991). “Statistical Process Control Procedures for Correlated Observations”. Canadian Journal of Chemical Engineering 69, pp. 48–57.
  • Li, W. K. (1988). “A Goodness-of-fit Test in Robust Time Series Modelling”. Biometrika 75, pp. 355–361.
  • Lin, W. S. W. and Adams, B. M. (1996). “Combined Control Charts for Forecast-Based Monitoring Schemes”. Journal of Quality Technology 28, pp. 289–301.
  • Lucas, J. M. and Saccucci, M. S. (1990). “Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements” (with discussion). Technometrics 32, pp. 1–29.
  • Luceño, A. (1998). “Performance of Discrete Feedback Adjustment Schemes With Dead Band, Under Stationary Versus Nonstationary Stochastic Disturbance”. Technometrics 40, pp. 223–233.
  • MacGregor, J. F.; Harris, T. J.; and Wright, J. D. (1984). “Duality Between the Control of Processes Subject to Randomly Occurring Deterministic Disturbances and ARIMA Stochastic Disturbances”. Technometrics 26, pp. 389–397.
  • Mathsoft, Inc. (1997). S-PLUS 4 Guide to Statistics. Mathsoft, Inc., Data Analysis Products Division, Seattle, WA.
  • Montgomery, D. C. (1996). Introduction to Statistical Quality Control, 3rd ed. John Wiley & Sons, New York, NY.
  • Montgomery, D. C. and Mastrangelo, C. M. (1991). “Some Statistical Process Control Methods for Autocorrelated Data” (with discussion). Journal of Quality Technology 23, pp. 179–204.
  • Montgomery, D. C. and Woodall, W. H. (1997). “A Discussion on Statistically-Based Process Monitoring and Control”. Journal of Quality Technology 29, pp. 121–162.
  • Runger, G. C. and Willemain, T. R. (1995). “Model-Based and Model-Free Control of Autocorrelated Processes”. Journal of Quality Technology 27, pp. 283–292.
  • Superville, C. R. and Adams, B. M. (1994). “An Evaluation of Forecast-Based Quality Control Schemes”. Communications in Statistics—Simulation 23, pp. 645–661.
  • Vander Weil, S. A. (1996). “Monitoring Processes That Wander Using Integrated Moving Average Models”. Technometrics 38, pp. 139–151.
  • Wardell, D. G.; Moskowitz, H.; and Plante, R. D. (1992). “Control Charts in the Presence of Data Correlation”. Management Science 38, pp. 1084–1105.
  • Wardell, D. G.; Moskowitz, H.; and Plante, R. D. (1994). Run-Length Distributions of Special-Cause Control Charts for Correlated Processes” (with discussion). Technometrics 36, pp. 3–27.
  • Willemain, T. R. and Runger, G. C. (1994). “Statistical Process Control by Level Crossings”. Journal of Statistical Computation and Simulation 51, pp. 7–20.
  • Zhang, N. F. (1998). “A Statistical Control Chart for Stationary Process Data”. Technometrics 40, pp. 24–38.

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