https://orcid.org/0000-0003-2243-8196
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Zahra Jalilibal, Mohammad Hassan Ahmadi Karavigh, Amirhossein Amiri & Michael B. C. Khoo. (2023) Run rules schemes for statistical process monitoring: a literature review. Quality Technology & Quantitative Management 20:1, pages 21-52.
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Sandile Charles Shongwe, Jean-Claude Malela-Majika & Philippe Castagliola. (2021) A combined mixed-s-skip sampling strategy to reduce the effect of autocorrelation on the X̄ scheme with and without measurement errors. Journal of Applied Statistics 48:7, pages 1243-1268.
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Kuntal Bera & M. Z. Anis. Estimation of C for autocorrelated data in the presence of random measurement errors. Communications in Statistics - Simulation and Computation 0:0, pages 1-28.
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Articles from other publishers (7)
M. Z. Anis & Kuntal Bera. (2022) Process Capability Cp Assessment for Auto-Correlated Data in the Presence of Measurement Errors. International Journal of Reliability, Quality and Safety Engineering 29:06.
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Linda Lee Ho, Roberto Costa Quinino, Fidel Henrique Fernandes & Marcelo Bourguignon. (2021) Klein's supplementary runs rules on X¯$\overline{X}$ chart to control the mean of a Weibull random variable. Quality and Reliability Engineering International 38:4, pages 1750-1759.
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Sandile Charles Shongwe & Jean-Claude Malela-Majika. (2021) A new double sampling scheme to monitor the process mean of autocorrelated observations using an AR(1) model with a skip sampling strategy. Computers & Industrial Engineering 153, pages 107084.
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Jose Ruiz-Tamayo, Jose Antonio Vazquez-Lopez, Edgar Augusto Ruelas-Santoyo, Aidee Hernandez-Lopez, Ismael Lopez-Juarez & Armando Javier Rios-Lira. (2021) Multivariate Pattern Recognition in MSPC Using Bayesian Inference. Mathematics 9:4, pages 306.
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Sandile Charles Shongwe & Jean-Claude Malela-Majika. (2020) Combined effect of autocorrelation and measurement errors on the adaptive X¯ monitoring schemes. Transactions of the Institute of Measurement and Control 43:3, pages 537-548.
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Ali Yeganeh, Alireza Shadman & Amirhossein Amiri. (2021) A novel run rules based MEWMA scheme for monitoring general linear profiles. Computers & Industrial Engineering 152, pages 107031.
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Fu‐Kwun Wang & Xiao‐Bin Cheng. (2019) Exponentially weighted moving average chart with a likelihood ratio test for monitoring autocorrelated processes. Quality and Reliability Engineering International 36:2, pages 753-764.
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