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

Amal S. Hassan and Yostina S. Morgan ()
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Amal S. Hassan: Cairo University
Yostina S. Morgan: Cairo University

Quality & Quantity: International Journal of Methodology, 2025, vol. 59, issue 4, No 13, 3303 pages

Abstract: 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

Keywords: Inverted Kumaraswamy distribution; Stress-strength reliability; Outliers; Markov chain Monte Carlo; Precautionary loss function (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11135-025-02097-8

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