1.Brook D., Evans, D.A., “ An approach to the probability distribution of CUSUM length,” Biometrika,(1972) .
2.Bodden, K.M., Rigdon, S.E. ,“A program for approximating the in-control ARL for the MEWMA chart.Journal of Quality Technology,”,31(1):120-123.(1999) .
3.Chih, W. H., and Rollier D. A., “A methodology of pattern recognition schemes for two variables in SPC,” International Journal of Quality & Reliability Management, 12, 86-107 (1995).
4.Christian Sonesson.,“Evaluations of some exponentially weighted moving average methods.Journal of Applied Statistics,”,30(10):1115-1133.(2003) .
5.Duncan, A. J., Quality Control and Industrial Statistics, 5, Irwin Book Company, Illinois (1986).
6.Grant, E. L. and Leavenworth, R. S.,“Statistical Quality Control, McGraw-Hill Book Company,”, NY (1988).
7.Hotelling, H.,“Multivariate quality control-illustrated by the air testing of sample bombsights,” In Techniques of Statistical Analysis, eds. C. Eisenhart, M. W, Hastay and W. A. Wallis, New York : McGraw –Hill, 111-184, (1947).
8.Hayter A, J,, Tsui K J.,“Identification and quantification in the multivariate quality controlproblems. ”Journal of Quality Technology, 26 :197-208. (1994)
9.Jackson, J. E. ,“A User’s Guide to Principal Components, John Wiley & Sons, Inc., New York, (1991).
10. Ku,W., and Storer, R. H. ,“Disturbance Detection and Isolation by Dynamic Principal Component Analysis,” Chemometrics Intell. Lab. Syst., vol. 30, pp. 179-196, (1995).
11.Lucas, J. M., “Combined Shewhart-CUSUM quality control schemes,” Journal of Quality Technology, 14, 51-59 (1982).
12.Lucas, J. M. “Combined Shewhart-CUSUM Quality Control Schemes,” Journal of Quality Technology, 14, 51-59(1982).
13.Lowry, C. A., Woodall, W. H., Champ, C. W. and Rigdon, S. E., “A multivariate exponentially weighted moving average control chart,” Technometrics, 34, 46-53 (1992).
14.Lowry, W M. A.,Montgomery D C. “Optimization Problems and Methods in Quality Control and Improvement,”.Journal of Quality Technology, 2000, 32, 1-31.
15Montgomery, D. C.,“Introduction to Statistical Quality Control, Wiley, New York (1991).
16.Montgomery, Douglas C. , Introduction to statistical quality control (5th Ed.), New York: John Wiley & Sons(2005) .
17.Montgomery, D. C. , “ Introduction to Statistical Quality Control,” Wiley, New York (1991).
18.Nelson, L. S., “Interpreting Shewhart X-bar control charts,” Journal of Quality Technology, 17, 114-116 (1985).
19.Nelson. L. S., “The Shewhart control chart-tests for special cause,” Journal of Quality Technology, 16, 4, 237-239 (1984).
20.Prabhu S S, Runger G C. , “Designing a multivariate EWMA control chart ,”Journal of Quality Technology,29(1):8-15 (1997) .
21.Page, E. S., “Continuous inspection schemes,” Biometrika, 41, 100-115 (1954).
22.Roberts, S. W., “Properties of control chart zone tests,” Bell System Technical Journal, 37, 83-113 (1958).
23.Runger G C,Prabhu S S.A, Markov chain model for the multivariate exponentially weighted moving averages control chart., ”Journal of the American Statistical Association (1996) .
24.Scranton, R., G. C. Runger, J. B. Keats, and D. C. Montgomery, Efficient Shift Detection Using Multivariate Exponentially-Weighted Moving Average Control Charts and Principal Components, Qual. Rel. Engg. Int., 12, 165-171, (1996).
25.Wachs, A., and Lewin, D. R. “Improved PCA Methods for Process Disturbance and Failure Identification,” AIChE J., vol. 45, no. 8, pp. 1688–1700, 1999.
26.Woodall, W. H. and Ncube, M. M., “Multivariate CUSUM Quality Control Procedures,” Technometrics, 27, 285-292 (1985).
27.Western Electric Company, “Statistical Quality Control Handbook, ” Western Electric Co. Inc., Indianapolis, Indiana (1958).
28.Roberts, S. W., Control chart tests based on geometric moving averages, Technometrics, 1, 239-250 (1959).
29.杜福州、唐曉青和孫靜,MEWMA管制圖 ARL計算及參數最佳化,北京,北京航空航天大學學報
30.謝昆霖,類神經網路在品質管制上之應用:非隨機性變化之偵測,中壢,元智工學院,工業工程研究所碩士論文,1994。