Advances and Applications in Statistics

The Advances and Applications in Statistics is an internationally recognized journal indexed in the Emerging Sources Citation Index (ESCI). It provides a platform for original research papers and survey articles in all areas of statistics, both computational and experimental in nature.

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UPDATING THE RESULTS OF DESIGNING OF A HYBRID EXPONENTIALLY WEIGHTED MOVING AVERAGE CONTROL CHART USING REPETITIVE SAMPLING

Authors

  • Osama H. Arif
  • Muhammad Aslam
  • Ambreen Shafqat

Keywords:

hybrid exponentially weighted moving average, control chart, process control, normal distribution, average run length

DOI:

https://doi.org/10.17654/0972361724026

Abstract

Azam et al. [1] presented the results of control chart of the hybrid exponentially weighted moving average statistic using approximation. In this paper, we update the results of [1] using Monte Carlo simulation.

Received: December 29, 2023
Accepted: February 24, 2024

References

M. Azam, M. Aslam and C. H. Jun, Designing of a hybrid exponentially weighted moving average control chart using repetitive sampling, The International Journal of Advanced Manufacturing Technology 77 (2015), 1927-1933.

https://doi.org/10.1007/s00170-014-6585-x.

A. Haq and W. H. Woodall, A note on an average run length calculation for the EWMA and other charts, Qual. Reliab. Eng. Int. 38 (2022), 4351-4355. https://doi.org/10.1002/qre.3214.

A. Haq, A new hybrid exponentially weighted moving average control chart for monitoring process mean, Qual. Reliab. Eng. Int. 29 (2013), 1015-1025. https://doi.org/10.1002/qre.1453.

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Published

16-03-2024 — Updated on 24-04-2025

Versions

Issue

Vol. 91 No. 4 (2024)

Section

Articles

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Copyright (c) 2024 Pushpa Publishing House, Prayagraj, India

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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How to Cite

UPDATING THE RESULTS OF DESIGNING OF A HYBRID EXPONENTIALLY WEIGHTED MOVING AVERAGE CONTROL CHART USING REPETITIVE SAMPLING. (2025). Advances and Applications in Statistics , 91(4), 489-494. https://doi.org/10.17654/0972361724026 (Original work published 2024)

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