1. B. Alwan,H. Roberts (1988). Time-Series Modeling for Detecting Level Shifts of Autocorrelated Processes. Journal of Business & Economic Statistics, 6, 87-96.
2. L. Alwan (2000). Statistical Process Analysis, Irwin- McGraw-Hill, New York, NY.
3. Layth Alwan (1992). Effects of autocorrelation on control chart performance. Communications in Statistics - Theory and Methods, 21(4), 1025-1049.
4. Layth Alwan,Darrell Radson (1992). βTime-Series Investigation of Subsample Mean Charts,β IIE Transactions. IIE Transactions, 24(5), 66-80.
5. O. Atienza,L. Tang,B. Ang (1998). A SPC Procedure for Detecting Level Shifts of Autocorrelated Processes. Journal of Quality Technology, 30(4), 340-351.
6. James Benneyan (2001). Number-between g-type Statistical Quality Control Charts for Monitoring Adverse Events. Health Care Management Science, 4(4), 305-318.
7. P. Berthouex,W. Hunter,L. Pallesen (1978). Monitoring Sewage Treatment Plants: Some Quality Control Aspects. Journal of Quality Technology, 10(4), 139-149.
8. G. Box,G. Jenkins,G. Reinsel (1994). Time Series Analysis, Forecasting and Control, Prentice-Hall, Englewood Cliffs, NJ.
9. G. Box (1994). Jenkins, G.M and Reinsel, G.C (1994 and 2008) Time Series Analysis: Forecasting and Control 3rd and 4thed. Time Series Analysis: Forecasting and Control 3rd and 4thed, 978-0.
10. G. Box,A. Luceno (1997). Statistical Control: By Monitoring and Feedback Adjustment Wiley-Interscience.
11. G. Box,G. Tiao (1975). Intervention Analysis with Applications to Economic and Environmental Problems. Journal of the American Statistical Association, 70(349), 70-79.
12. Russell Boyles (2000). Phase I Analysis for Autocorrelated Processes. Journal of Quality Technology, 32(4), 395-409.
13. Ih Chang,George Tiao,Chung Chen (1988). Estimation of Time Series Parameters in the Presence of Outliers. Technometrics, 30(2), 193-204.
14. Chung Chen,Lon-Mu Liu (1993). Joint Estimation of Model Parameters and Outlier Effects in Time Series. Journal of the American Statistical Association, 88(421), 284-297.
15. Chung Chen,Lonβmu Liu (1993). Forecasting time series with outliers. Journal of Forecasting, 12(1), 13-35.
16. Elsayed Elsayed,Hao Zhang (2007). DESIGN OF OPTIMUM SIMPLE STEP-STRESS ACCELERATED LIFE TESTING PLANS. Recent Advances in Stochastic Operations Research, 23-38.
17. John English,Tep Sastri (1990). Enhanced quality control in continuous flow processes. Computers & Industrial Engineering, 19(1-4), 258-262.
18. Thomas Harris,William Ross (1991). Statistical process control procedures for correlated observations. The Canadian Journal of Chemical Engineering, 69(1), 48-57.
19. Douglas Hawkins (1991). Multivariate Quality Control Based on Regression-Adjusted Variables. Technometrics, 33(1), 61.
20. D. Hawkins (1993). Regression Adjustment for Variables in Multivariate Quality Control. Journal of Quality Technology, 25, 37-43.
21. H. Hotelling (1947). Multivariate Quality Control. Techniques of Statistical Analysis
22. J. Hunter (1986). The Exponentially Weighted Moving Average. Journal of Quality Technology, 18(4), 203-210.
23. J. Jackson (1956). Quality Control Methods for Two Related Variables. Industrial Quality Control, 1
24. J. Jackson (1959). Quality Control Methods for Several Related Variables. Technometrics, 1(4), 359-377.
25. J. Jackson (1985). Multivariate Quality Control. Communications in Statistics-Theory and Methods
26. J. Jarrett,X. Pan (2007). Using Vector Autoregressive Residuals to Monitor Multivariate Processes in the Presence of Serial Correlation. International Journal of Production Economics, 106, 204-216.
27. Jeffrey Jarrett,Xia Pan (2007). Monitoring Variability and Analyzing Multivariate Autocorrelated Processes. Journal of Applied Statistics, 34(4), 459-469.
28. A. Kalagonda,S. Kulkarni (2003). Diagnosis of multivariate control chart signal for auto correlated processes. Communications in Statistics - Theory and Methods, 32(8), 1665-1684.
29. A. Kalagonda,S. Kulkarni (2004). Multivariate Quality Control Chart for Autocorrelated Processes. Journal of Applied Statistics, 31(3), 317-327.
30. H. Lee,S. Wang (2003). Higher Supply Chain Security with Lower Cost: Lessons from Total Quality Management, Research Paper No.
31. Lowry,C. Woodall,C. Champ,S. Rigdon (1992). A Multivariate Exponentially Weighted Moving Average Control Chart. Technometrics, 43, 46-53.
32. Cynthia Lowry,Douglas Montgomery (1995). A review of multivariate control charts. IIE Transactions, 27(6), 800-810.
33. Chao-Wen Lu,Marion Reynolds (1999). Control Charts for Monitoring the Mean and Variance of Autocorrelated Processes. Journal of Quality Technology, 31(3), 259-274.
34. Hazem Maragah,William Woodall (1992). The effect of autocorrelation on the retrospectiveX-chart. Journal of Statistical Computation and Simulation, 40(1-2), 29-42.
35. Christina Mastrangelo,David Forrest (2002). Multivariate Autocorrelated Processes: Data and Shift Generation. Journal of Quality Technology, 34(2), 216-220.
36. Wade Molnau,Douglas Montgomery,George Runger (2001). Statistically constrained economic design of the multivariate exponentially weighted moving average control chart. Quality and Reliability Engineering International, 17(1), 39-49.
37. D. Montgomery,C. Mastrangelo (1991). Statistical Process Control in a Computer- Integrated Manufacturing Environment. Statistical Process Control in Automated Manufacturing, edited by J.B. Kates and N.F. Hunele, Marcel Dekker
38. D. Montgomery (2005). Introduction to Statistical Quality Control fifth.
39. D. Montgomery,J. Friedman (1989). Statistical Process Control in a Computer- Integrated Manufacturing Environment. Statistical Process Control in Automated Manufacturing, edited by J.B. Kates and N.F. Hunele, Marcel Dekker
40. D. Montgomery,G. Runger (2003). Applied Statistics and Probability for Engineers, 3rd ed.
41. D. Montgomery,H. Wadsworth (1972). Some Techniques for Multivariate Quality Control Applications. A I I E Transactions, 4, 427-435.
42. S. Novak (2011). Extreme Value Methods with Applications to Finance, London: Chapman and Hall/CRC Monographs on Statistics & Applied Probability. C&H/CRC Monographs on Statistics & Applied Probability
43. Xia Pan,Jeffrey Jarrett (2004). Applying State Space to SPC: Monitoring Multivariate Time Series. Journal of Applied Statistics, 31(4), 397-418.
44. A. Papaioannon (2010). Application of multivariate statistical methods for groundwater physicochemical and biological quality assessment in the context of public health. Environ Monit Assess, 170, 1-4.
45. A. Papaioannon (2010). βAssessment and Modeling of Groundwater Quality Data by Environmentric Methods in the Context of Public Health. Water Resources Management, 24, 3257-3278.
46. Christian Sonesson,David Bock (2003). A Review and Discussion of Prospective Statistical Surveillance in Public Health. Journal of the Royal Statistical Society, Series A, 166(1), 5-21.
47. J. Sullivan,W. Woodall (1996). A Review of Multivariate Charts. Journal of Quality Technology
48. Murat Testik (2005). Model Inadequacy and Residuals Control Charts for Autocorrelated Processes. Quality and Reliability Engineering International, 21(2), 115-130.
49. Nola Tracy,John Young,Robert Mason (1992). Multivariate Control Charts for Individual Observations. Journal of Quality Technology, 24(2), 88-95.
50. Don Wardell,Herbert Moskowitz,Robert Plante (1994). [Run-Length Distributions of Special-Cause Control Charts for Correlated Processes]: Rejoinder. Technometrics, 36(1), 23.
51. D. West,S. Delana,J. Jarrett (2002). Transfer Function Modeling of Processes with Dynamic Inputs. Journal of Quality Technology, 34, 315-321.
52. D. West,J. Jarrett (2004). The Impact of First Order Positive Auto regression on Process Control. International Journal of Business & Economics, 3, 29-37.
53. S. Wierda (1994). βMultivariate Statistical Process Control: Recent Results and Directions for Future Researches: Statistica Neerlandica. Statistica Neerlandica, 48(2), 147-168.
54. C. Wright,D. Booth,M. Hu (2001). Joint Estimation: SPC Method for Short-Run Autocorrelated Data. Journal of Quality Technology, 33, 365-368.
55. William Woodall (2005). The Use of Control Charts in Health-Care and Public-Health Surveillance. Journal of Quality Technology, 38(2), 89-104.
56. S. Yang,M. Rahim (2005). Economic statistical process control for multivariate quality characteristics under Weibull shock model. International Journal of Production Economics, 98(2), 215-226.
57. A. Yeh,L. Hwang,Y. Wu (2004). A likelihood-ratio-based EWMA control chart for monitoring variability of multivariate normal processes. IIE Transactions, 36(9), 865-879.
58. Cui Zhang,Hai Yu,Xiao Huang (2009). Quality control strategy in supply chain under asymmetric information. International Journal of Operational Research, 4(1), 97.