Acceptance Sampling Plans for Truncated Life Tests Using the Marshall–Olkin Birnbaum–Saunders Distribution
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Noor S. Al-Momani
und
Abedel-Qader S. Al-Masri
Abstract
An acceptance sampling plan (AS) for a truncated life test is proposed based on the Marshall–Olkin Birnbaum–Saunders (MOBS) distribution. The minimum sample size required to guarantee the specified mean life is determined. Additionally, the operating characteristic function values and producer’s risk associated with the proposed sampling plans are presented. Tables summarizing the results are provided, supported by numerical examples to illustrate the findings. Finally, the proposed method is demonstrated through numerical examples and a real-life application.
Acknowledgements
The authors gratefully acknowledge the constructive feedback of the anonymous reviewers and appreciate the support and encouragement of colleagues that contributed to the development of this work.
References
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Artikel in diesem Heft
- Frontmatter
- Classical and Bayesian Estimation of PCI 𝒞pc Using Power Generalized Weibull Distribution
- A τ-Power Stochastic Rayleigh Diffusion Model: Computational Aspects, Simulation and Predictive Analysis
- Acceptance Sampling Plans for Truncated Life Tests Using the Marshall–Olkin Birnbaum–Saunders Distribution
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Artikel in diesem Heft
- Frontmatter
- Classical and Bayesian Estimation of PCI 𝒞pc Using Power Generalized Weibull Distribution
- A τ-Power Stochastic Rayleigh Diffusion Model: Computational Aspects, Simulation and Predictive Analysis
- Acceptance Sampling Plans for Truncated Life Tests Using the Marshall–Olkin Birnbaum–Saunders Distribution
- The EWMA Wilcoxon Signed-Rank Chart with Variable Sampling Interval
- A New Synthetic Triple Sampling X̅ Control Chart
- From Quantile Functions to Subquantile Functions and Their Applications
