Monitoring the parameter vector of regression models with time-to-event response in phase II processes

References

• Woodall W, Montgomery D. Some current directions in the theory and application of statistical process monitoring. J Qual Technol. 2014;46(1):78–94.
   Web of Science ®Google Scholar
• Zhan L, Chen G. EWMA charts for monitoring the mean of censored Weibull lifetimes. J Qual Technol. 2004;36:321–328.
   Web of Science ®Google Scholar
• Johnson NL. Cummulative sum control charts and the Weibull distribution. Technometrics. 1966;8:481–491. doi: 10.1080/00401706.1966.10490381
   Web of Science ®Google Scholar
• Dickinson RM, Olteanu RDA, Ryan AG, et al. CUSUM charts for monitoring the characteristic life of censored Weibull lifetimes. J Qual Technol. 2014;46(4):340–358.
   Web of Science ®Google Scholar
• Shafae MS, Dickinson RM, Woodall W, et al. CUSUM control charts for monitoring Weibull distributed time between events. Qual Reliab Eng Int. 2014;31(5):839–849. doi: 10.1002/qre.1643
   Web of Science ®Google Scholar
• Pascual F. EWMA charts for the Weibull shape parameter. J Qual Technol. 2010;42(4):400–416.
   Web of Science ®Google Scholar
• Pascual F, Zhang H. Monitoring the Weibull shape parameter by control charts for the sample range. Qual Reliab Eng Int. 2011;27:15–25. doi: 10.1002/qre.1099
   Web of Science ®Google Scholar
• Pascual F, Nguyen D. Moving range charts for monitoring the Weibull shape parameter with single observation samples. Qual Reliab Eng Int. 2011;27:905–919. doi: 10.1002/qre.1180
   Web of Science ®Google Scholar
• Akhundjanov SB, Pascual F. Moving range EWMA control charts for monitoring the Weibull shape parameter. J Stat Comput Simul. 2015;85(9):1864–1882. doi: 10.1080/00949655.2014.907574
   Web of Science ®Google Scholar
• Pascual F, Li S. Monitoring the Weibull shape parameter by control charts for the sample range of type II censored data. Qual Reliab Eng Int. 2011;28:233–246. doi: 10.1002/qre.1239
   Web of Science ®Google Scholar
• Guo B, Wang BX. Control charts for monitoring the Weibull shape parameter based on type II censored samples. Qual Reliab Eng Int. 2014;30:13–24. doi: 10.1002/qre.1473
   Web of Science ®Google Scholar
• Chan Y, Han B, Pascual F. Monitoring the Weibull shape parameter with type II censored data. Qual Reliab Eng Int. 2014;31(5):741–760. doi: 10.1002/qre.1631
   Web of Science ®Google Scholar
• Panza CA, Vargas JA. Monitoring the shape parameter of a Weibull regression model in phase II processes. Qual Reliab Eng Int. 2014;32(1):195–207. doi: 10.1002/qre.1740
   Web of Science ®Google Scholar
• Woodall W. Current research in profile monitoring. Revista Producao. 2007;17:420–425. doi: 10.1590/S0103-65132007000300002
   Google Scholar
• Woodall WH, Sprintzer DL, Montgomery DC, et al. Using control charts to monitor processes and product quality profiles. J Qual Technol. 2004;36:309–320.
   Web of Science ®Google Scholar
• Noorossana R, Saghaei A, Amiri A. Statistical analysis of profile monitoring. Hoboken (NJ): John Wiley and Sons, Inc.; 2011.
   Google Scholar
• Yeh A, Huwang L, Li Y. Profile monitoring for a binary response. IEE Trans. 2009;41:931–941. doi: 10.1080/07408170902735400
   Web of Science ®Google Scholar
• Shang Y, Tsung F, Zou C. Profile monitoring with binary data and random predictors. J Qual Technol. 2011;43(3):196–208.
   Web of Science ®Google Scholar
• Amiri A, Koosha M, Azhdari A, et al. Phase I monitoring of generalized linear model-based regression profiles. J Stat Comput Simul. 2015;85(14):2839–2859. doi: 10.1080/00949655.2014.942864
   Web of Science ®Google Scholar
• Shadman A, Mahlooji H, Yeh AB, et al. A change point method for monitoring generalized linear profiles in phase I. Qual Reliab Eng Int. 2015;31(8):1367–1381. doi: 10.1002/qre.1671
   Web of Science ®Google Scholar
• Shadman A, Mahlooji H, Yeh AB, et al. A change point method for phase II monitoring of generalized linear profiles. Commun Stat Simul Comput; 2014 [online].
   Google Scholar
• Khedmati M, Niaki STA. Phase II monitoring of general linear profiles in the presence of between profile autocorrelation. Qual Reliab Eng Int. 2016;32(2):443–452. doi: 10.1002/qre.1762
   Web of Science ®Google Scholar
• Shichang D, Jun L. Minimal Euclidean distance chart based on support vector regression for monitoring mean shifts of auto-correlated processes. Int J Prod Econ. 2013;141:377–387. doi: 10.1016/j.ijpe.2012.09.002
   Web of Science ®Google Scholar
• Soleymanian ME, Khedmati M, Mahlooji H. Phase II monitoring of binary response profiles. Sci Iran E. 2013;20(6):2238–2246.
   Web of Science ®Google Scholar
• Qi D, Wang Z, Zi X, et al. Phase II monitoring of general linear profiles using weighted likellihood ratio charts. Comput Ind Eng. 2016;94:178–187. doi: 10.1016/j.cie.2016.01.022
   Web of Science ®Google Scholar
• DiCiccio T. Likelihood inference for linear regression models. Biometrika. 1988;75:29–34. doi: 10.1093/biomet/75.1.29
   Web of Science ®Google Scholar
• Lawless J. Statistical models and methods for lifetime data. 2nd ed. New York (NY): John Wiley and Sons, Inc.; 1982.
   Google Scholar
• Martinussen T, Sheike TH. Dynamic regression models for survival data. New York (NY): Springer; 2006.
   Google Scholar
• Paul SR, Thiagarajah K. Asymptotic variance–covariance of maximum likelihood estimators for the parameters of the extreme value regression models for censored data. Windsor Mathematics Statistics Report 92–14. Ontario: University of Windsor; 1992.
   Google Scholar
• Fraser D. Inference and linear models. London (GB): McGraw-Hill; 1979.
   Google Scholar
• Hinkley D. Likelihood inference about location and scale parameters. Biometrika. 1978;71:233–244.
   Google Scholar
• Barndorff-Nielsen OE, Cox DR. Bartlett's adjustments to the likelihood ratio statistic and the distribution of the maximum likelihood estimator. J R Stat Soc. 1984;B46:483–495.
   Google Scholar
• Zou C, Tsung F, Wang Z. Monitoring general linear profiles using multivariate exponentially weighted moving average schemes. Technometrics. 2007;49:395–408. doi: 10.1198/004017007000000164
   Web of Science ®Google Scholar