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Journal of Applied Statistics Volume 35, 2008 - Issue 6
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Original Articles

Reduction of control-chart signal variablity for high-quality processes

C. D. LaiCorrespondence[email protected]
&
K. Govindaraju
Pages 671-679 | Published online: 19 May 2008

Citations (11)

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Read on this site (3)

Jehan Ara, Sajid Ali & Ismail Shah. (2020) Monitoring schedule time using exponentially modified Gaussian distribution. Quality Technology & Quantitative Management 17:4, pages 448-469.
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Ross Sparks, Brian Jin, Sarvnaz Karimi, Cecile Paris & C. R. MacIntyre. (2019) Real-time monitoring of events applied to syndromic surveillance. Quality Engineering 31:1, pages 73-90.
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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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Articles from other publishers (8)

Caterina Rizzo, Swee‐Teng Chin, Edwin Heuvel & Alessandro Di Bucchianico. (2020) Performance measures of discrete and continuous time‐between‐events control charts. Quality and Reliability Engineering International 36:8, pages 2754-2768.
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Sajid Ali. (2017) Time-between-events control charts for an exponentiated class of distributions of the renewal process. Quality and Reliability Engineering International 33:8, pages 2625-2651.
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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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Negin Enayaty Ahangar & Justin R. Chimka. (2016) Attribute Control Charts with Optimal Limits. Quality and Reliability Engineering International 32:4, pages 1381-1391.
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Sajid Ali & Antonio Pievatolo. (2016) High quality process monitoring using a class of inter-arrival time distributions of the renewal process. Computers & Industrial Engineering 94, pages 45-62.
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Quintana Alicia Esther, Pisani María Virginia & Casal Ricardo Néstor. (2015) Desempeño de cartas de control estadístico con límites bilaterales de probabilidad para monitorear procesos Weibull en mantenimiento. Ingeniería, Investigación y Tecnología 16:1, pages 143-156.
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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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Willem Albers. (2010) The optimal choice of negative binomial charts for monitoring high-quality processes. Journal of Statistical Planning and Inference 140:1, pages 214-225.
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