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Monitoring for Increases in Process Variance

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  • Ross Sparks

Abstract

Process variation is made up of a wandering mean (signal) and the variation of the process around this wandering mean (noise). The paper advocates a new process monitoring method that uses various forms of moving variances to signal changes in process noise or variance. The monitoring plans are compared to the current approaches in terms of their average run length properties.

Suggested Citation

  • Ross Sparks, 2003. "Monitoring for Increases in Process Variance," Australian & New Zealand Journal of Statistics, Australian Statistical Publishing Association Inc., vol. 45(4), pages 383-394, December.
    • Handle: RePEc:bla:anzsta:v:45:y:2003:i:4:p:383-394
    DOI: 10.1111/1467-842X.00294
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    Cited by:

    1. Longcheen Huwang & Yi‐Hua Tina Wang & Arthur B. Yeh & Ze‐Shiang Jason Chen, 2009. "On the exponentially weighted moving variance," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(7), pages 659-668, October.
    2. Huwang, Longcheen & Huang, Chun-Jung & Wang, Yi-Hua Tina, 2010. "New EWMA control charts for monitoring process dispersion," Computational Statistics & Data Analysis, Elsevier, vol. 54(10), pages 2328-2342, October.

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