Citations (39)
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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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Manuel Cabral Morais, Sven Knoth & Christian H. Weiß. (2018) An ARL-unbiased thinning-based EWMA chart to monitor counts. Sequential Analysis 37:4, pages 487-510.
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Christian H. Weiß & Murat Caner Testik. (2015) Residuals-Based CUSUM Charts for Poisson INAR(1) Processes. Journal of Quality Technology 47:1, pages 30-42.
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Min Zhang, Guohua Nie, Zhen He & Xuejun Hou. (2014) The Poisson INAR(1) one-sided EWMA chart with estimated parameters. International Journal of Production Research 52:18, pages 5415-5431.
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Articles from other publishers (25)
Hanhan Li & Cong Li. (2023) Multivariate control charts for monitoring a bivariate correlated count process with application to meningococcal disease. Statistical Methods in Medical Research 32:12, pages 2299-2317.
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Cang Wu, Shubin Si, Wenpo Huang & Wei Jiang. (2022) Copula-based CUSUM charts for monitoring infectious disease using Markovian Poisson processes. Computers & Industrial Engineering 172, pages 108536.
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Youngmi Lee & Sangyeol Lee. (2018) CUSUM test for general nonlinear integer-valued GARCH models: comparison study. Annals of the Institute of Statistical Mathematics 71:5, pages 1033-1057.
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Cong Li, Dehui Wang & Fukang Zhu. (2016) Effective Control Charts for Monitoring the NGINAR(1) Process. Quality and Reliability Engineering International 32:3, pages 877-888.
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