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Bayesian and non-bayesian analysis of R = Pr (W

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  • Amal S. Hassan

    (Cairo University)

  • Yostina S. Morgan

    (Cairo University)

Abstract

Many real-world systems encounter extremes in operation, which frequently result in malfunctions. Recently, there has been a lot of focus on the phenomena of systems failing to carry out their intended functions when they reach their lowest, highest, or both extreme operating conditions. This phenomenon is modeled by multi-stress-strength reliability $$R = \Pr \left( {W

Suggested Citation

  • Amal S. Hassan & Yostina S. Morgan, 2025. "Bayesian and non-bayesian analysis of R = Pr (W," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(4), pages 3271-3303, August.
    • Handle: RePEc:spr:qualqt:v:59:y:2025:i:4:d:10.1007_s11135-025-02097-8
    DOI: 10.1007/s11135-025-02097-8
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    References listed on IDEAS

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    1. Bagci, Kubra & Arslan, Talha & Celik, H. Eray, 2021. "Inverted Kumarswamy distribution for modeling the wind speed data: Lake Van, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
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    5. David Hinkley, 1977. "On Quick Choice of Power Transformation," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 26(1), pages 67-69, March.
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