Run length distribution for a modified EWMA scheme fitted with a stationary AR(p) model

Piyatida PhanthunaDepartment of Applied Statistics, Faculty of Applied Science, King Mongkut’s University of Technology, North Bangkok, ThailandView further author information

Yupaporn AreepongDepartment of Applied Statistics, Faculty of Applied Science, King Mongkut’s University of Technology, North Bangkok, ThailandCorrespondence[email protected]

https://orcid.org/0000-0002-5103-9867 View further author information

Saowanit SukparungseeDepartment of Applied Statistics, Faculty of Applied Science, King Mongkut’s University of Technology, North Bangkok, Thailand

https://orcid.org/0000-0001-5248-8173 View further author information

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Kotchaporn Karoon, Yupaporn Areepong & Saowanit Sukparungsee. (2023) Modification of ARL for detecting changes on the double EWMA chart in time series data with the autoregressive model. Connection Science 35:1.
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Articles from other publishers (2)

Wilasinee Peerajit & Yupaporn Areepong. (2023) Alternative to Detecting Changes in the Mean of an Autoregressive Fractionally Integrated Process with Exponential White Noise Running on the Modified EWMA Control Chart. Processes 11:2, pages 503.
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Kotchaporn Karoon, Yupaporn Areepong & Saowanit Sukparungsee. (2022) Exact Run Length Evaluation on Extended EWMA Control Chart for Autoregressive Process. Intelligent Automation & Soft Computing 33:2, pages 743-759.
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Run length distribution for a modified EWMA scheme fitted with a stationary AR(p) model

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Run length distribution for a modified EWMA scheme fitted with a stationary AR(p) model

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