A note on detecting outliers in short autocorrelated data using joint estimation and exponentially weighted moving average

Omega

Volumn 31, Issue 4, 2003, Pages 319-326

  Wright, C M ^a   Hu, M Y ^b  

^a UNIVERSITY OF CENTRAL MISSOURI   (United States)

^b KENT STATE UNIVERSITY   (United States)

Author keywords

Autocorrelated data; Non iid data; Quality; Short run data; SPC; Time series

Indexed keywords

DATA HANDLING; STATISTICAL PROCESS CONTROL;

AUTO-CORRELATED DATA; EXPONENTIALLY WEIGHTED MOVING AVERAGE; IID DATA; JOINT ESTIMATION; NON-IID DATA; QUALITY; SHORT RUNS; SHORT-RUN DATA; SPC; TIMES SERIES;

TIME SERIES;

EID: 0038308383     PISSN: 03050483     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0305-0483(03)00046-X     Document Type: Article

References (15)

1. Faltin F.W. Mastrangelo C.M. Runger G.C. Ryan T.P. Considerations in the monitoring of autocorrelated and independent data Journal of Quality Technology 29 2 1997 131-133
2. Alwan L.C. Radson D. Time-series investigation of subsample mean charts IIE Transactions 24 5 1992 66-80
3. Baxley R.V. EWMA control schemes: properties and enhancements Technometrics 32 1990 13-16
4. Berthouex P.M. Hunter W.G. Pallesen L. Monitoring sewage treatment plants: some quality control aspects Journal of Quality Technology 10 1978 139-149
5. Ermer DS, Chow MC, Wu SM. A time-series control chart for a nuclear reactor. In: Proceedings of the 1979 Annual Reliability and Maintainability Symposium. New York: Institute of Electrical and Electronic Engineers, 1979. p. 92-8.
6. Harris T.H. Ross W.H. Statistical process control procedures for correlated observations Canadian Journal of Chemical Engineering 69 1991 48-57
7. Hunter J.S. Discussions of EWMA control schemes: properties and enhancements Technometrics 32 1990 21-22
8. Montgomery D.C. Friedman D.J. Statistical process control in a computer-integrated manufacturing environment. In: Keats J.B. Hubele N.F. (Eds.), Statistical process control in automated manufacturing 1989 Marcel-Dekker New York
9. Wright C.M. Hu M.Y. Booth D.E. Effectiveness of joint estimation when the outlier is the last observation in an autocorrelated short time series Decision Sciences 30 3 1999 825-847
10. Chen C. Liu L. Joint estimation of model parameters and outlier effects in time series Journal of the American Statistical Association 33 421 1993 284-297
11. PC SCA System for forecasting and time series analysis, PC-EXPERT & XUTS Modules. Scientific Computing Associates (SCA), Oak Brook, IL, 1992.
12. Flack T. Schmid W. Sigmund R. A comparison of several procedures for identifying outliers in contaminated ARMA processes Computational Statistics 11 1996 175-195
13. Wright C.M. Booth D.E. Water treatment control using the joint estimation outlier detection method Environmental Modeling and Assessment 6 2001 77-82
14. Ng C.H. Case K.E. Development and evaluation of control charts using exponentially weighted moving averages Journal of Quality Technology 2 4 1989 242-250
15. Wright C.M. Booth D.E. Hu M.Y. Joint estimation: SPC method for short-run autocorrelated data Journal of Quality Technology 33 3 2001 365-377