Reference: | 一、中文文獻 1. 黃榮臣、張耕銘,2012,利用無母數EWMA 管制圖監控製程平均數/位置參 數與變異數/尺度參數。 2. 黃子銘、鄭舜壕,2010,無母數指數加權移動平管制圖伴隨變動管制界線。 二、英文文獻 1. Amin, R.W. and A. J. Searcy. 1991. A nonparametric exponentially weighted moving average control scheme. Communications in Statistics - Simulation and Computation, Vol. 20, No. 4, pp.1049-1072. 2. Balakrishnan, N. and H. K.T. Ng. 2006. Precedence-type tests and applications. 3. Borror, C. M. and D. C. Montgomery. 1999. Robustness of the EWMA control chart to non-normality. Journal of Quality Technology, Vol. 31, No. 3, pp.309- 316. 4. Chahraborti, S. 2011. Distribution-Free quality control charts. 5. Chakraborti, S., P. Van Der Laan, and S. T. Bakir. 2001. Nonparametric control charts: An overview and some results. Journal of Quality Technology, Vol. 33, No3, pp.304-315. 6. Chakraborti, S., S. W. Human, and M. A. Graham. 2008. Phase I statistic process control charts: an overview and some results. Quality Engineering, Vol. 21, No. 1, pp.52-62 7. Champ, C. W. and S. E. Rigdon. 2007. A comparison of the markov chain and the integral equation approaches for evaluating the run length distribution of quality control charts. Communications in Statistics - Simulation and Computation, Vol. 20, No. 1, pp.191-204. 8. Yang, C. C. 2017. An Evaluation of the FRWMA Chart for Dependent Interval‧ valued Data. Cluster Computing, Vol. 17, No. 6, pp.1-8. 9. Gemai, C., W. C. Smiley, and X. Hansheng. 2001. Monitoring process mean and variability with one EWMA chart. Journal of Quality Technology, Vol. 33, No. 2, pp.223-233. 10. Gibbons, J. D. and S. Chakraborti. 2003. Nonparametric statistic inference. pp.508 11. Gramham, M. A., A. Mukherjee and S. Chahraborti. 2012. Distribution-free exponentially weighted moving average control charts for monitoring unknown location. Computational Statistics & Data Analysis, Vol. 56, No. 8, pp.2539- 2561. 12. Gramham, M. A., S. Chahraborti and S. W. Human. 2011. A nonparametric exponentially weighted moving average signed-rank chart for monitoring location. Computational Statistics & Data Analysis, Vol. 55, No. 8, pp.2490- 2503. 13. Hackl, P. and J. Leodolter. 1999. A control chart based on ranks. Journal of Quality Technology, Vol. 23, No. 2, pp.117-124. 14. Longcheen, H., C. J. Huang and Y. H. T. Wang. 2010. New EWMA control charts for monitoring process dispersion. Computational Statistics & Data Analysis, Vol. 54, No. 10, pp.2328-2342. 15. Lucas, M. J. and S. M. Saccucci. 1990. Exponentially weighted moving average control schemes: properties and enhancements. Technometrics, Vol. 32, No. 1, pp.1-12. 16. Montgomery, D. C., G. C. Runger and N. F. Hubele. 2009. Statistical quality control. pp. 386-411. 17. Roberts, S. W. 1959. Control chart test based on geometric moving averages. Technometrics, Vol. 1, No. 3, pp.239-250. 18. Robinson, P. B. and T. Y. Ho. 1978. Average run lengths of geometric moving average charts by numerical methods. Technometrics, Vol. 20, No. 1, pp.85-93 19. Stoumbos, Z. G. and J. H. Sullivan. 2002. Robustness to non-normarlity of multivariate EWMA control chart. Journal of Quality Technology, Vol. 34, No. 3, pp.260-276. 20. Li, S. U., T. L. Ching and S. H. Ng. 2010. Nonparametric CUSUM and EWMA control charts for detecting mean shifts. Journal of Quality Technology, Vol. 42, No. 2, pp.209-226. 21. Woodall, W. H. and D. C. Montgomery. 1999. Research issues and ideas in statistical process control. Journal of Quality Technology, Vol. 49, No. 4, pp.376-386 |