|
一、中文部分 [1]吳政儀,2001,在單一觀測值下監控多變量製程變異性之EWMA管制 圖,國立清華大學統計學研究所,碩士論文 [2]黃立芬,2002,監控多變量製程變異性增加之EWMA管制圖,國立交通大學統計所,碩士論文 [3]顏家鈴,2001,監控多變量製程變異性增加之管制圖,國立交通大學統計所碩士論文
二、英文部分 [4]Crowder, S. V. and Hamilton, M. D., 1992, “An EWMA for Monitoring a Process Standard Deviation” Journal of Quality Technology, 24, pp. 12-21. [5]Castagliola, P., 2005, “A New S2-EWMA Control Chart for Monitoring the Process Variance” Quality and Reliability Engineering International, 21, pp.781-794 [6]Djauhari, M. A., 2005, “Improved Monitoring of Multivariate Process Variability” Journal of Quality Technology, 37, pp. 32-39. [7]Khoo, M. B. C. and Quah, S. H., 2004, “Alternatives to the Multivariate Control Chart for Process Dispersion”, Quality Engineering, 16,pp. 423-435. [8] Lucas, J. M. and Saccucci, M. S., 1990, “Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements”, Technometrics, 32,pp. 1-12. [9]Montgomery, D.C., 2001, “Introduction to statistical quality control”, 4th Edition, John Wiley & Sons, New York. [10]MacGregor, J. F. and Harris, T. J., 1993, “The Exponentially Weighted Moving Variance” Journal of Quality Technology, 25, pp. 106-118. [11] Ryan, T. P., 1989, “Statistical Methods for Quality Improvement”, John Wiley & Sons, New York. [12]Yeh, A. B., Lin, D. K. J., Zhou, H. and Venkataramani, C., 2003, “A multivariate exponentially weighted moving average control chart for monitoring process variability”, Journal of Applied Statistics, 30,pp. 507-536. [13]Levison, W. A., Holmes, D. S. and Mergen, A. E., 2002, “Variation charts for multivariate processes”, Quality Engineering, 14, pp. 539-545
|