Abbasi, S. A., Abbas, T. & Adegoke, N. A. (2021). Improved simple linear profiling method with application to chemical gas sensors. Quality and Reliability Engineering International, 37(8), pp 3179-3191.
Abdella, G. M., Kim, J., Al‐Khalifa, K. N. & Hamouda, A. M. (2016). Double EWMA‐Based Polynomial Quality Profiles Monitoring. Quality and Reliability Engineering International, 32(8), pp 2639-2652.
Adegoke, N. A., Abbasi, S. A., Smith, A. N., Anderson, M. J. & Pawley, M. D. (2019). A multivariate homogeneously weighted moving average control chart. IEEE Access, 7(9586-9597.
Ahmadi, M. M. & Shahriari, H. (2022). Robust Monitoring of Simple Linear Profiles Using M-estimators. Computational Research Progress in Applied Science & Engineering (CRPASE), 8(1-7.
Amiri, A., Eyvazian, M., Zou, C. & Noorossana, R. (2012). A parameters reduction method for monitoring multiple linear regression profiles. The International Journal of Advanced Manufacturing Technology, 58(5-8), pp 621-629.
Amiri, A., Sogandi, F. & Ayoubi, M. (2018). Simultaneous monitoring of correlated multivariate linear and GLM regression profiles in Phase II. Quality Technology & Quantitative Management, 15(4), pp 435-458.
Atashgar, K. & Abbassi, L. (2020). A new model to monitor very small effects of a polynomial profile. International Journal of Quality & Reliability Management.
Ayoubi, M., Kazemzadeh, R. & Noorossana, R. (2014). Estimating multivariate linear profiles change point with a monotonic change in the mean of response variables. The International Journal of Advanced Manufacturing Technology, 75(9-12), pp 1537-1556.
Fallahdizcheh, A. & Wang, C. (2022). Profile monitoring based on transfer learning of multiple profiles with incomplete samples. IISE transactions, 54(7), pp 643-658.
Haq, A. (2020). Adaptive MEWMA charts for univariate and multivariate simple linear profiles. Communications in Statistics-Theory and Methods, 1-29.
Haq, A., Bibi, M. & Brown, J. (2021). Monitoring multivariate simple linear profiles using individual observations. Journal of Statistical Computation and Simulation, 91(17), pp 3573-3592.
Jensen, W. A., Birch, J. B. & Woodall, W. H.(2008). Monitoring correlation within linear profiles using mixed models. Journal of Quality Technology, 40(2), pp 167-183.
Kang, L. & Albin, S. L. (2000). On-line monitoring when the process yields a linear profile. Journal of quality Technology, 32(4), pp 418.
Karavigh, M. H. A. & Amiri, A. (2022). MEWMA based control charts with runs rules for monitoring multivariate simple linear regression profiles in Phase II. Communications in Statistics Part B: Simulation and Computation, Published online), pp.1-28
Kazemzadeh, R. B., Noorossana, R. & Amiri, A. (2008). Phase I monitoring of polynomial profiles. Communications in Statistics—Theory and Methods, 37(10), pp 1671-1686.
Kim, K., Mahmoud, M. A. & Woodall, W. H. (2003). On the monitoring of linear profiles. Journal of Quality Technology, 35(3), pp 317.
Kordestani, M., Hassanvand, F., Samimi, Y. & Shahriari, H. (2020). Monitoring multivariate simple linear profiles using robust estimators. Communications in Statistics-Theory and Methods, 49(12), pp 2964-2989.
Li, C.-I. & Tsai, M.-R. (2022). Control charts for profile monitoring of within-profile correlations using the Tweedie exponential dispersion process model. Journal of Statistical Computation and Simulation, 1-20.
Liu, W., Li, Z. & Wang, Z. (2022). Monitoring of Linear Profiles Using Linear Mixed Model in the Presence of Measurement Errors. Mathematics, 10(24), pp 4641.
Lowry, C. A., Woodall, W. H., Champ, C. W. & Rigdon, S. E. (1992). A multivariate exponentially weighted moving average control chart. Technometrics, 34(1), pp 46-53.
Lucas, J. M. & Saccucci, M. S. (1990). Exponentially weighted moving average control schemes: properties and enhancements. Technometrics, 32(1), pp 1-12.
Mahmoud, M. A. (2008). Phase I analysis of multiple linear regression profiles. Communications in Statistics—Simulation and Computation®, 37(10), pp 2106-2130.
Mahmoud, M. A., Parker, P. A., Woodall, W. H. & Hawkins, D. M. (2007). A change point method for linear profile data. Quality and Reliability Engineering International, 23(2), pp 247-268.
Mahmoud, M. A. & Woodall, W. H. (2004). Phase I analysis of linear profiles with calibration applications. Technometrics, 46(4), pp 380-391.
Malela-Majika, J.-C., Shongwe, S. C., Chatterjee, K. & Koukouvinos, C. (2022). Monitoring univariate and multivariate profiles using the triple exponentially weighted moving average scheme with fixed and random explanatory variables. Computers & Industrial Engineering, 163(107846.
Moheghi, H., Noorossana, R. & Ahmadi, O. (2022). Phase I and phase II analysis of linear profile monitoring using robust estimators. Communications in Statistics-Theory and Methods, 51(5), pp 1252-1269.
Montgomery, D. C. (1991). Introduction to statistical quality control, 2: John Wiley & Sons.
Montgomery, D. C. (2009). Introduction to Statistical Quality Control, 6: Wiley New York.
Nasiri Boroujeni, M., Samimi, Y. & Roghanian, E. (2022). Parametric and non-parametric methods for monitoring nonlinear fuzzy profiles. The International Journal of Advanced Manufacturing Technology, 118(1), pp 67-84.
Nassar, S. H. & Abdel‐Salam, A. S. G. (2021). Semiparametric MEWMA for Phase II profile monitoring. Quality and Reliability Engineering International, 37(5), pp 1832-1846.
Noorossana, R., Amiri, A., Vaghefi, S. & Roghanian, E. Monitoring quality characteristics using linear profile. Proceedings of the 3rd International Industrial Engineering Conference, (2004). 246-255.
Noorossana, R., Eyvazian, M. & Vaghefi, A. (2010). Phase II monitoring of multivariate simple linear profiles. Computers & Industrial Engineering, 58(4), pp 563-570.
Noorossana, R., Saghaei, A. & Amiri, A. (2011). Statistical analysis of profile monitoring: John Wiley & Sons.
Rahimi, S. B., Amiri, A. & Ghashghaei, R. (2019). Simultaneous monitoring of mean vector and covariance matrix of multivariate simple linear profiles in the presence of within profile autocorrelation. Communications in Statistics-Simulation and Computation, 1-18.
Soleimani, P. & Noorossana, R. (2014). Monitoring multivariate simple linear profiles in the presence of between profile autocorrelation. Communications in Statistics-Theory and Methods, 43(3), pp 530-546.
Soleimani, P., Noorossana, R. & Niaki, S. (2013). Monitoring autocorrelated multivariate simple linear profiles. The International Journal of Advanced Manufacturing Technology, 67(5-8), pp 1857-1865.
Song, L., He, S., Zhou, P. & Shang, Y. (2022). Empirical likelihood ratio charts for profiles with attribute data and random predictors in the presence of within‐profile correlation. Quality and Reliability Engineering International, 38(1), pp 153-173.
Walker, E. & Wright, S. P. (2002). Comparing curves using additive models. Journal of Quality Technology, 34(1), pp 118.
Williams, J. D., Woodall, W. H. & Birch, J. B. Phase I monitoring of nonlinear profiles. quality and productivity research conference, Yorktown Heights, New York, (2003).
Williams, J. D., Woodall, W. H. & Birch, J. B. (2007). Statistical monitoring of nonlinear product and process quality profiles. Quality and Reliability Engineering International, 23(8), pp 925-941.
Xin, H., Hsieh, W.-J., Lio, Y. & Tsai, T.-R. (2020). Nonlinear profile monitoring using spline functions. Mathematics, 8(9), pp 1588.
Yazdi, A. A., Hamadani, A. Z. & Amiri, A. (2019). Phase II monitoring of multivariate simple linear profiles with estimated parameters. Journal of Industrial Engineering International, 15(4), pp 557-570.
Yeganeh, A. & Shadman, A. (2021). Monitoring linear profiles using Artificial Neural Networks with run rules. Expert Systems with Applications, 168(114237.
Yeganeh, A., Shadman, A. & Abbasi, S. A.(2022). Enhancing the detection ability of control charts in profile monitoring by adding RBF ensemble model. Neural Computing and Applications, 1-25.
Yeganeh, A., Shadman, A. R., Triantafyllou, I. S., Shongwe, S. C. & Abbasi, S. A. (2021). Run rules-based EWMA charts for efficient monitoring of profile parameters. IEEE Access, 9(38503-38521.
Yeh, A. B., Lin, D. K. & McGrath, R. N. (2006). Multivariate control charts for monitoring covariance matrix: a review. Quality Technology & Quantitative Management, 3(4), pp 415-436.
Zhou, Q. & Qiu, P. (2022). Phase I monitoring of serially correlated nonparametric profiles by mixed‐effects modeling. Quality and Reliability Engineering International, 38(1), pp 134-152.
Zou, C., Ning, X. & Tsung, F. (2012). LASSO-based multivariate linear profile monitoring. Annals of Operations Research, 192(1), pp 3-19.
Zou, C., Tsung, F. & Wang, Z. (2007). Monitoring general linear profiles using multivariate exponentially weighted moving average schemes. Technometrics, 49(4), pp 395-408.
Zou, C., Zhang, Y. & Wang, Z. (2006). A control chart based on a change-point model for monitoring linear profiles. IIE transactions, 38(12), pp 1093-1103.