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Original Articles

The Conditional In-Control Performance of Self-Starting Control Charts

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Konstantinos Bourazas, Frederic Sobas & Panagiotis Tsiamyrtzis. (2023) Design and properties of the predictive ratio cusum (PRC) control charts. Journal of Quality Technology 55:4, pages 404-421.
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I. M. Zwetsloot, L. A. Jones-Farmer & W. H. Woodall. (2023) Monitoring univariate processes using control charts: Some practical issues and advice. Quality Engineering 0:0, pages 1-13.
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Eralp Dogu & Muhammad Noor-ul-Amin. (2023) Monitoring exponentially distributed time between events data: self-starting perspective. Communications in Statistics - Simulation and Computation 52:3, pages 1104-1118.
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Peihua Qiu & Xiulin Xie. (2022) Transparent Sequential Learning for Statistical Process Control of Serially Correlated Data. Technometrics 64:4, pages 487-501.
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Konstantinos Bourazas, Dimitrios Kiagias & Panagiotis Tsiamyrtzis. (2022) Predictive Control Charts (PCC): A Bayesian approach in online monitoring of short runs. Journal of Quality Technology 54:4, pages 367-391.
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XueLong Hu, Philippe Castagliola, Anan Tang & Jianlan Zhong. (2021) Guaranteed conditional performance of the median run length based EWMA chart with unknown process parameters. Communications in Statistics - Simulation and Computation 50:12, pages 4280-4299.
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Ming Ha Lee & Michael B. C. Khoo. (2021) Double sampling np chart with estimated process parameter. Communications in Statistics - Simulation and Computation 50:8, pages 2232-2250.
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Sajid Ali. (2020) A predictive Bayesian approach to EWMA and CUSUM charts for time-between-events monitoring. Journal of Statistical Computation and Simulation 90:16, pages 3025-3050.
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Giovanna Capizzi & Guido Masarotto. (2020) Guaranteed in-control control chart performance with cautious parameter learning. Journal of Quality Technology 52:4, pages 385-403.
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XueLong Hu & Philippe Castagliola. (2019) A re-evaluation of the run rules xbar chart when the process parameters are unknown. Quality Technology & Quantitative Management 16:6, pages 696-725.
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X. L. Hu, P. Castagliola & A. A. Tang. (2019) Conditional design of the CUSUM median chart for the process position when process parameters are unknown. Journal of Statistical Computation and Simulation 89:13, pages 2468-2488.
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Peyman Khosravi & Amirhossein Amiri. (2019) Self-Starting control charts for monitoring logistic regression profiles. Communications in Statistics - Simulation and Computation 48:6, pages 1860-1871.
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J. Ravichandran. (2019) Self-starting X-bar control chart based on Six Sigma quality and sometimes pooling procedure. Journal of Statistical Computation and Simulation 89:2, pages 362-377.
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J. A. Garza-Venegas, V. G. Tercero-Gómez, L. Lee Ho, P. Castagliola & G. Celano. (2018) Effect of autocorrelation estimators on the performance of the X̄ control chart. Journal of Statistical Computation and Simulation 88:13, pages 2612-2630.
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William H. Woodall. (2017) Bridging the gap between theory and practice in basic statistical process monitoring. Quality Engineering 29:1, pages 2-15.
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Wai Chung Yeong, Michael Boon Chong Khoo, Sok Li Lim & Philippe Castagliola. (2016) The economic and economic-statistical designs of the Hotelling's T2 chart based on the expected average run length. Quality Engineering 28:4, pages 416-428.
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Xiaobei Shen, Kwok-Leung Tsui, Changliang Zou & William H. Woodall. (2016) Self-Starting Monitoring Scheme for Poisson Count Data With Varying Population Sizes. Technometrics 58:4, pages 460-471.
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Articles from other publishers (9)

Subhabrata Chakraborti, Nirpeksh Kumar, Athanasios C. Rakitzis & Ross S. Sparks. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online 1 13 .
Sajid Ali. (2021) Time‐between‐events monitoring using nonhomogeneous Poisson process with power law intensity. Quality and Reliability Engineering International 37:8, pages 3157-3178.
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Ronald J.M.M. Does, Rob Goedhart & William H. Woodall. (2020) On the design of control charts with guaranteed conditional performance under estimated parameters. Quality and Reliability Engineering International 36:8, pages 2610-2620.
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Zahra Taheri, Hamid Esmaeeli & Mohammad Hadi Doroudyan. (2020) Monitoring autoregressive binary social networks based on likelihood statistics. Computers & Industrial Engineering 149, pages 106721.
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Sajid Ali. (2019) A predictive Bayesian approach to sequential time‐between‐events monitoring. Quality and Reliability Engineering International 36:1, pages 365-387.
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Eralp Dogu & Min Jung Kim. (2020) Self-starting single control charts for multivariate processes: a comparison of methods. Production 30.
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Lisha Yu, William H. Woodall & Kwok-Leung Tsui. (2018) Detecting node propensity changes in the dynamic degree corrected stochastic block model. Social Networks 54, pages 209-227.
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F. Lombard & C. van Zyl. (2018) Signed sequential rank CUSUMs. Computational Statistics & Data Analysis 118, pages 30-39.
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Baocai Guo & Bing Xing Wang. (2017) The Design of the S 2 Control Charts Based on Conditional Performance via Exact Methods . Quality and Reliability Engineering International 33:7, pages 1567-1575.
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