Statistical control charts for monitoring the mean of a stationary process

References

• 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 , : 340 – 351 .
   Google Scholar
• Alwan , L.C. and Roberts , H.V. 1988 . Time-Series Modeling for Statistical Process Control . Journal of Business and Economic Statistics , 6 : 87 – 95 .
   Web of Science ®Google Scholar
• Box , G.E.P. and Jenkins , G.M. 1976 . Time Series Analysis:Forecasting and Control , San Francisco : Holden-Day .
   Google Scholar
• Harris , T.J. and Ross , W.H. 1991 . Statistical Process Control Procedures for Correlated Observations . Canadian Journal of Chemical Engineering , 69 : 48 – 57 .
   Web of Science ®Google Scholar
• Lu , C.W. and Reynolds , M.R. 1999 . EWMA Control Charts for Monitoring the Mean of Autocorrelated Processes . Journal of Quality Technology , 31 : 166 – 188 .
   Web of Science ®Google Scholar
• Montgomery , D.C. and Mastrangelo , C.M. 1991 . Some Statistical Process Control Methods for Autocorrelated Data . Journal of Quality Technology , 23 : 179 – 193 .
   Web of Science ®Google Scholar
• 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 : 273 – 282 .
   Web of Science ®Google Scholar
• Bruyn , C.S. Van Dobben de. 1968 . Cumulative Sum Tests, Theory and Practice , London : Griffin .
   Google Scholar
• Wardell , D.G. , Moskowitz , H. and Plante , R.D. 1994 . Run-Length Distributions of Special-Cause Control Charts for Correlated Processes . Technometrics , 36 : 3 – 17 .
   Web of Science ®Google Scholar
• Zhang , N.F. 1997 . Detection Capability of Residual Chart for Autocorrelated Data . Journal of Applied Statistics , 24 : 475 – 492 .
   Web of Science ®Google Scholar
• Zhang , N.F. 1998 . A Statistical Control Chart for Stationary Process Data . Technometrics , 40 : 24 – 38 .
   Web of Science ®Google Scholar