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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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Mohammad Rasouli, Hamid Shahriari & Yaser Samimi. (2022) Monitoring a bi-attribute high-quality process using a mixture probability distribution. Communications in Statistics - Simulation and Computation 51:12, pages 7427-7443.
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Nirpeksh Kumar. (2022) Statistical design of phase II exponential chart with estimated parameters under the unconditional and conditional perspectives using exact distribution of median run length. Quality Technology & Quantitative Management 19:1, pages 1-18.
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Nirpeksh Kumar. (2020) Conditional analysis of Phase II exponential chart for monitoring times to an event. Quality Technology & Quantitative Management 17:3, pages 285-306.
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Sofia Panagiotidou, George Nenes & Prodromos Georgopoulos. (2020) A sequential monitoring Bayesian control scheme for attributes. Quality Technology & Quantitative Management 17:1, pages 108-124.
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Min Zhang, Xuejun Hou, Zhen He & Yahui Xu. (2017) Performance comparison for the CRL control charts with estimated parameters for high-quality processes. Quality Technology & Quantitative Management 14:1, pages 31-43.
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Sang Joon Um & Jong Gurl Kim. (2016) A simultaneous control scheme for mean and fraction non conforming in small process variation. Communications in Statistics - Theory and Methods 45:16, pages 4745-4759.
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S. K. Khilare & D. T. Shirke. (2014) The Steady-State Performance of Cumulative Count of a Conforming Control Chart Based On Runs Rules. Communications in Statistics - Theory and Methods 43:15, pages 3135-3147.
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John L. Szarka$suffix/text()$suffix/text() & William H. Woodall. (2012) On the Equivalence of the Bernoulli and Geometric CUSUM Charts. Journal of Quality Technology 44:1, pages 54-62.
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Articles from other publishers (10)
Eftychia Mamzeridou & Athanasios C. Rakitzis. (2023) A Combined Runs Rules Scheme for Monitoring General Inflated Poisson Processes. Mathematics 11:22, pages 4671.
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Michael S. Saccucci, James M. Lucas, Patrick D. Bourke, Darwin J. Davis & Erwin M. Saniga. (2022) A closer look at the equivalence of Bernoulli and geometric CUSUM control charts. Quality and Reliability Engineering International 38:7, pages 3470-3484.
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Sotiris Bersimis, Markos V. Koutras & Athanasios C. Rakitzis. 2019. Handbook of Scan Statistics. Handbook of Scan Statistics
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Min Zhang, Xuejun Hou, Hui Chen & Shuguang He. (2018)
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Athanasios C. Rakitzis, Christian H. Weiß & Philippe Castagliola. (2017) Control charts for monitoring correlated counts with a finite range. Applied Stochastic Models in Business and Industry 33:6, pages 733-749.
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Sajid Ali, Antonio Pievatolo & Rainer Göb. (2016) An Overview of Control Charts for High-quality Processes. Quality and Reliability Engineering International 32:7, pages 2171-2189.
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Aamir Saghir & Zhengyan Lin. (2015) Control Charts for Dispersed Count Data: An Overview. Quality and Reliability Engineering International 31:5, pages 725-739.
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Seyed Taghi Akhavan Niaki & Majid Khedmati. (2013) Change point estimation of high-yield processes with a linear trend disturbance. The International Journal of Advanced Manufacturing Technology 69:1-4, pages 491-497.
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Gracia Toubia‐Stucky, Haitao Liao & Janet Twomey. (2011) A Sequential Bayesian Cumulative Conformance Count Approach to Deterioration Detection in High Yield Processes. Quality and Reliability Engineering International 28:2, pages 203-214.
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John L. SzarkaIIIIII & William H. Woodall. (2011) A Review and perspective on surveillance of Bernoulli processes. Quality and Reliability Engineering International 27:6, pages 735-752.
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