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A Bayesian Extended Exponentially Weighted Moving Average Control Chart

Author

Listed:
  • Das Souradeep

    (Department of Statistics, Charuchandra College, Kolkata, India)

  • Maiti Sudhansu S.

    (Department of Statistics, [30190]Visva-Bharati University, Santiniketan, India)

Abstract

In this study, we propose a Bayesian Extended Exponentially Weighted Moving Average (BEEWMA) control chart. We have considered that the control chart statistic follows a normal distribution and the location parameter has an informative prior (normal). Average run length (ARL) has been used to evaluate the performance of the BEEWMA control chart. A simulation study has been performed to evaluate the new BEEWMA control chart’s performance for different smoothing constants values. The performance of the proposed control chart is also measured using a real-life application.

Suggested Citation

  • Das Souradeep & Maiti Sudhansu S., 2024. "A Bayesian Extended Exponentially Weighted Moving Average Control Chart," Stochastics and Quality Control, De Gruyter, vol. 39(2), pages 69-77.
    • Handle: RePEc:bpj:ecqcon:v:39:y:2024:i:2:p:69-77:n:1001
    DOI: 10.1515/eqc-2023-0021
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