1. Cheng, C.S. and Cheng, H.P. (2008). Identifying the Source of Variance Shifts in the Multivariate Process Using Neural Networks and Support Vector Machines. Expert Syst. Appl., 35, 198206. [ DOI:10.1016/j.eswa.2007.06.002] 2. Dehghan Monfared, M.E. and Lak, F. (2013). Bayesian Estimation of the Change Point Using X ̅ Control Chart, Communications in StatisticsTheory and Methods, 42, 15721582. [ DOI:10.1080/03610926.2011.594536] 3. Dehghan Monfared, M.E. and Lak, F. (2016). Bayesian Method for Finding True Change Point when a Control Chart is Used, J. Statist. Res. Iran, 13, 107 117. [ DOI:10.18869/acadpub.jsri.13.1.6] 4. Dehghan Monfared, M.E. and Lak, F. (2017). Comparing Two MLEs of The Change Point When an X ̅ Control Chart Is Used, Journal of Statistical Theory and Applications, 16, 209218. [ DOI:10.2991/jsta.2017.16.2.6] 5. Dehghan Monfared, M.E. and Meshkani, M.R. (2007). Bayesian Estimation of the Multiple Change Points in a Gamma Process Using X ̅ Chart, J. Statist. Res. Iran, 4, 203 216. 6. Hou, C.D., Shao, Y.E. and Huang, S. (2013). A Combined MLE and Generalized P Chart Approach to Estimate the Change Point of a Multinomial Process, Applied Mathematics & Information Sciences, 7, 14871493. [ DOI:10.12785/amis/070430] 7. Montgomery, D.C. (2009). Introduction to Statistical Quality Control, 6th ed., Wiley, New York. 8. Pignatiello, J.J. and Samuel, T.R. (2001). Estimation of the Change Point of a Normal Process Mean in SPC Applications, Journal of Quality Technology, 33, 8295. [ DOI:10.1080/00224065.2001.11980049] 9. Samuel, T.R., Pignatiello, J.J. and Calvin, J.A. (1998). Identifying the Time of a Step Change with X ̅ Control Charts, Quality Engineering, 10, 521527. [ DOI:10.1080/08982119808919166] 10. Shao, Y.E. and Hou, C.D. (2004). A Study on Identifying the Time of a Step Change Disturbance with S Control Charts and MLE Method. Journal of the Chinese Institute of Industrial Engineers, 21, 349357. [ DOI:10.1080/10170660409509415] 11. Shao, Y.E. and Hou, C.D. (2006). Estimation of the Starting Time of a Step Change Disturbance in a Gamma Process. Journal of the Chinese Institute of Industrial Engineers, 23, 319327. [ DOI:10.1080/10170660609509328] 12. Shao, Y.E. and Hou, C.D. (2013a). Fault Identification in Industrial Processes Using an Integrated Approach of Neural Network and Analysis of Variance. Mathematical Problems in Engineering, article ID 516760, 17. 13. Shao, Y.E. and Hou, C.D. (2013b). Change Point Determination for a Multivariate Process Using a Twostage Hybrid Scheme. Applied Soft Computing, 13, 15201527. [ DOI:10.1016/j.asoc.2012.02.008] 14. Shao, Y.E., Hou, C.D. and Wang, H.J. (2006). Estimation of the Change Point of a Gamma Process by Using the S Control Chart and MLE. Journal of the Chinese Institute of Industrial Engineers, 23, 207214. [ DOI:10.1080/10170660609509010] 15. Shao, Y.E. and Hsu, B.S. (2009). Determining the Contributers for a Multivariate SPC Chart Signal Using Artificial Neural Networks and Aupport Vector Machine, Int. J. INNovative Comput. Inform. Cont., 5, 48994906.
