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Quality Technology & Quantitative Management Volume 15, 2018 - Issue 1: Advances in the Theory and Application of Statistical Process Control
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Articles

Monitoring multivariate Poisson processes: a review and some new results

Paolo Carmelo CozzucoliDepartment of Economics, Statistics and Finance, University of Calabria, Rende, ItalyCorrespondence[email protected]
&
Marco MarozziDepartment of Environmental Sciences, Informatics and Statistics, University of Venice, Venezia, Italy
Pages 53-68 | Accepted 06 Mar 2017, Published online: 03 Apr 2017

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Zhiqiong Wang, Zhen He, Yanfen Shang & Yanhui Ma. (2023) Change-Point detection for autocorrelated multivariate Poisson processes. Quality Technology & Quantitative Management 20:3, pages 384-404.
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Inez M. Zwetsloot, Tahir Mahmood & William H. Woodall. (2021) Multivariate time-between-events monitoring: An overview and some overlooked underlying complexities. Quality Engineering 33:1, pages 13-25.
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Vasileios Alevizakos & Christos Koukouvinos. (2020) A comparative study on Poisson control charts. Quality Technology & Quantitative Management 17:3, pages 354-382.
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Muhammad Ali Raza & Muhammad Aslam. (2019) Design of control charts for multivariate Poisson distribution using generalized multiple dependent state sampling. Quality Technology & Quantitative Management 16:6, pages 629-650.
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Miaomiao Yu, Chunjie Wu & Fugee Tsung. (2019) Monitoring the data quality of data streams using a two-step control scheme. IISE Transactions 51:9, pages 985-998.
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C. I. Li, J. N. Pan & M. H. Huang. (2019) A new demerit control chart for monitoring the quality of multivariate Poisson processes. Journal of Applied Statistics 46:4, pages 680-699.
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