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Communications in Statistics - Simulation and Computation Volume 43, 2014 - Issue 10
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Original Articles

A Combination of CUSUM Charts for Monitoring a Zero-Inflated Poisson Process

Shuguang HeSchool of Management, Tianjin University, Tianjin, ChinaCorrespondence[email protected]
,
Shijie LiSchool of Management, Tianjin University, Tianjin, China
&
Zhen HeSchool of Management, Tianjin University, Tianjin, China
Pages 2482-2497 | Received 16 Apr 2012, Accepted 21 Nov 2012, Published online: 10 Oct 2013

Citations (13)

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Read on this site (3)

Eftychia Mamzeridou & Athanasios C. Rakitzis. (2022) Synthetic-type control charts for monitoring general inflated poisson processes. Communications in Statistics - Simulation and Computation 0:0, pages 1-15.
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Aya A. Aly, Nesma A. Saleh & Mahmoud A. Mahmoud. (2022) An adaptive EWMA control chart for monitoring zero-inflated Poisson processes. Communications in Statistics - Simulation and Computation 51:4, pages 1564-1577.
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Amitava Mukherjee & Athanasios C. Rakitzis. (2019) Some simultaneous progressive monitoring schemes for the two parameters of a zero-inflated Poisson process under unknown shifts. Journal of Quality Technology 51:3, pages 257-283.
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Articles from other publishers (10)

Min Xie, Thong Ngee Goh & Tahir Mahmood. 2023. Springer Handbook of Engineering Statistics. Springer Handbook of Engineering Statistics 261 274 .
Tahir Mahmood, Ridwan A. Sanusi & Min Xie. 2021. Frontiers in Statistical Quality Control 13. Frontiers in Statistical Quality Control 13 45 63 .
Tahir Mahmood. (2020) Generalized linear model based monitoring methods for high‐yield processes. Quality and Reliability Engineering International 36:5, pages 1570-1591.
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Vasileios Alevizakos & Christos Koukouvinos. (2019) A generally weighted moving average control chart for zero‐inflated Poisson processes. Quality and Reliability Engineering International 36:2, pages 675-704.
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Vasileios Alevizakos & Christos Koukouvinos. (2019) Monitoring of zero‐inflated Poisson processes with EWMA and DEWMA control charts. Quality and Reliability Engineering International 36:1, pages 88-111.
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Tahir Mahmood & Min Xie. (2019) Models and monitoring of zero‐inflated processes: The past and current trends. Quality and Reliability Engineering International 35:8, pages 2540-2557.
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Hanwool Kim & Sangyeol Lee. (2019) Improved CUSUM monitoring of Markov counting process with frequent zeros. Quality and Reliability Engineering International.
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Wenxing Tian, Hailong You, Chunfu Zhang, Sheng Kang, Xinzhang Jia & Wei-Ting Kary Chien. (2019) Statistical Process Control for Monitoring the Particles With Excess Zero Counts in Semiconductor Manufacturing. IEEE Transactions on Semiconductor Manufacturing 32:1, pages 93-103.
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Athanasios C Rakitzis, Philippe Castagliola & Petros E Maravelakis. (2016) Cumulative sum control charts for monitoring geometrically inflated Poisson processes: An application to infectious disease counts data. Statistical Methods in Medical Research 27:2, pages 622-641.
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Athanasios C. Rakitzis, Christian H. Weiß & Philippe Castagliola. (2017) Control Charts for Monitoring Correlated Poisson Counts with an Excessive Number of Zeros. Quality and Reliability Engineering International 33:2, pages 413-430.
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