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Comparisons of control schemes for monitoring the means of processes subject to drifts

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  • Changliang Zou
  • Yukun Liu
  • Zhaojun Wang

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Suggested Citation

  • Changliang Zou & Yukun Liu & Zhaojun Wang, 2009. "Comparisons of control schemes for monitoring the means of processes subject to drifts," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 70(2), pages 141-163, September.
    • Handle: RePEc:spr:metrik:v:70:y:2009:i:2:p:141-163
    DOI: 10.1007/s00184-008-0183-6
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    References listed on IDEAS

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    1. Dong Han & Fugee Tsung, 2005. "Comparison of the cuscore, GLRT and cusum control charts for detecting a dynamic mean change," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 57(3), pages 531-552, September.
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    Cited by:

    1. Frisén, Marianne, 2011. "Methods and evaluations for surveillance in industry, business, finance, and public health," Research Reports 2011:3, University of Gothenburg, Statistical Research Unit, School of Business, Economics and Law.
    2. Zhou, Qin & Luo, Yunzhao & Wang, Zhaojun, 2010. "A control chart based on likelihood ratio test for detecting patterned mean and variance shifts," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1634-1645, June.
    3. Su, Yan & Shu, Lianjie & Tsui, Kwok-Leung, 2011. "Adaptive EWMA procedures for monitoring processes subject to linear drifts," Computational Statistics & Data Analysis, Elsevier, vol. 55(10), pages 2819-2829, October.
    4. Fan Yi & Peihua Qiu, 2023. "Water Resource Surveillance for the Salton Sea in California By Adaptive Sequential Monitoring of Its Landsat Images," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(3), pages 549-563, September.

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    1. Zhou, Qin & Luo, Yunzhao & Wang, Zhaojun, 2010. "A control chart based on likelihood ratio test for detecting patterned mean and variance shifts," Computational Statistics & Data Analysis, Elsevier, vol. 54(6), pages 1634-1645, June.

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