Model-Based and Model-Free Control of Autocorrelated Processes

Advances in automated sampling technology have made autocorrelated data commonplace. Positive autocorrelation degrades control charts designed by classical methods. If a correct time-series model of the autocorrelated process is available, many have adv..

[1]  Layth C. Alwan Effects of autocorrelation on control chart performance , 1992 .

[2]  E. S. Page CONTINUOUS INSPECTION SCHEMES , 1954 .

[3]  G. S. Fishman Grouping Observations in Digital Simulation , 1978 .

[4]  Gerald J. Hahn Statistics-Aided Manufacturing: A Look into the Future , 1989 .

[5]  S. Pollock,et al.  Weighted Batch Means for Confidence Intervals in Steady-State Simulations , 1993 .

[6]  G. S. Fishman Principles of Discrete Event Simulation , 1978 .

[7]  Herbert Moskowitz,et al.  Run-Length Distributions of Special-Cause Control Charts for Correlated Processes , 1994 .

[8]  Douglas C. Montgomery,et al.  The use of statistical process control and design of experiments in product and process improvement , 1992 .

[9]  Layth C. Alwan,et al.  TIME-SERIES INVESTIGATION OF SUBSAMPLE MEAN CHARTS , 1992 .

[10]  T. Harris,et al.  Statistical process control procedures for correlated observations , 1991 .

[11]  W. T. Tucker,et al.  Algorithmic statistical process control: concepts and an application , 1992 .

[12]  Layth C. Alwan,et al.  Time-Series Modeling for Statistical Process Control , 1988 .

[13]  Emmanuel Yashchin,et al.  Performance of CUSUM control schemes for serially correlated observations , 1993 .

[14]  D. A. Evans,et al.  An approach to the probability distribution of cusum run length , 1972 .

[15]  Douglas C. Montgomery,et al.  Some Statistical Process Control Methods for Autocorrelated Data , 1991 .

[16]  George C. Runger,et al.  Average run lengths for cusum control charts applied to residuals , 1995 .

[17]  W. T. Tucker,et al.  Algorithmic Statistical Process Control: An Elaboration , 1993 .

[18]  George C. Runger,et al.  Batch-means control charts for autocorrelated data , 1996 .

[19]  Averill M. Law,et al.  A Sequential Procedure for Determining the Length of a Steady-State Simulation , 1979, Oper. Res..

[20]  Bruce W. Schmeiser,et al.  Properties of batch means from stationary ARMA time series , 1987 .

[21]  George C. Runger,et al.  Statistical process control using level crossings , 1994 .

[22]  G. B. Wetherill,et al.  Quality Control and Industrial Statistics , 1975 .

[23]  Herbert Moskowitz,et al.  [Run-Length Distributions of Special-Cause Control Charts for Correlated Processes]: Discussion , 1994 .