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Original Articles

Monitoring autocorrelated processes using a distribution-free tabular CUSUM chart with automated variance estimation

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Pages 979-994 | Received 01 Apr 2008, Accepted 01 Feb 2009, Published online: 27 Aug 2009

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Di Liu, Heeseon Kim, Seong-Hee Kim, Taeheung Kim, Dongki Lee & Yao Xie. (2023) Distribution-free multivariate time-series monitoring with analytically determined control limits. International Journal of Production Research 61:20, pages 6960-6977.
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Na Zou & Jing Li. (2017) Modeling and change detection of dynamic network data by a network state space model. IISE Transactions 49:1, pages 45-57.
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Christos Alexopoulos, David Goldsman, Peng Tang & James R. Wilson. (2016) SPSTS: A sequential procedure for estimating the steady-state mean using standardized time series. IIE Transactions 48:9, pages 864-880.
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Joongsup (Jay) Lee, Youngmi Hur, Seong-Hee Kim & James R. Wilson. (2012) Monitoring nonlinear profiles using a wavelet-based distribution-free CUSUM chart. International Journal of Production Research 50:22, pages 6574-6594.
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Articles from other publishers (6)

Seong-Hee Kim. (2015) A Distribution-freeCUSUMChart for Monitoring Variability of AutocorrelatedProcesses. Quality and Reliability Engineering International 31:6, pages 923-934.
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Subhabrata Chakraborti & Marien A. Graham. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online.
Subha Chakraborti. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online.
Sukhraj Singh & D.R. Prajapati. (2013) Performance of CUSUM and EWMA charts for serial correlation. The TQM Journal 25:3, pages 309-324.
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CANAN BILEN. (2011) MONITORING AUTOCORRELATED PROCESSES WITH WAVELETS. International Journal of Reliability, Quality and Safety Engineering 17:02, pages 133-156.
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Samuel Kotz, Campbell B. Read, N. Balakrishnan, Brani Vidakovic & Norman L. JohnsonSubha Chakraborti. 2004. Encyclopedia of Statistical Sciences. Encyclopedia of Statistical Sciences 1 27 .

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