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Multiple Dependent State Repetitive Sampling-Based Control Chart for Birnbaum–Saunders Distribution

Author

Listed:
  • Muhammad Aslam
  • Ambreen Shafqat
  • G. Srinivasa Rao
  • Jean-Claude Malela-Majika
  • Sandile C. Shongwe
  • Xiangyu Meng

Abstract

This paper proposes a new control chart for the Birnbaum–Saunders distribution based on multiple dependent state repetitive sampling (MDSRS). The proposed control chart is a generalization of the control charts based on single sampling, repetitive sampling, and multiple dependent state sampling. Its sensitivity is evaluated in terms of the average run length (ARL) using both exact formulae and simulations. A comprehensive comparison between the Birnbaum–Saunders distribution control chart based on the MDSRS method and other existing competing methods is provided using a simulation study as well as a real-life illustration. The results reveal that the proposed chart outperforms the existing charts considered in this study by having better shift detection ability.

Suggested Citation

  • Muhammad Aslam & Ambreen Shafqat & G. Srinivasa Rao & Jean-Claude Malela-Majika & Sandile C. Shongwe & Xiangyu Meng, 2020. "Multiple Dependent State Repetitive Sampling-Based Control Chart for Birnbaum–Saunders Distribution," Journal of Mathematics, Hindawi, vol. 2020, pages 1-11, October.
    • Handle: RePEc:hin:jjmath:8539361
    DOI: 10.1155/2020/8539361
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