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Semiparametric Analysis of Designed Reliability Improvement Experiments: Termination and Identification
G.Wang, H.Wang, M.Shao, S.Lv, X.Wang, and G.Vining, “Semiparametric Analysis of Designed Reliability Improvement Experiments: Termination and Identification,” Applied Stochastic Models in Business and Industry42, no. 3 (2026): e70112, https://doi.org/10.1002/asmb.70112. Conflicts of Interest The authors declare no conflicts of interest.
Bayesian analysis of designed reliability improvement experiments with application to adaptive termination
REFERENCES 1. Reliability Improvement with Design of Experiments. CRC Press; 2001. 2, , . Statistics for Experimenters - Design, Innovation, and Discovery. 2nd ed. Wiley; 2005. 3. Design and Analysis of Experiments. 10th ed. Wiley; 2020. 4, , . Recent advances and future directions for quality engineering. Qual Reliab Eng Int. 2016; 32(3): 863-875. 5, , . Challenges and new methods for designing reliability experiments. Qual Eng. 2019; 31(1): 108-121. 6, , .
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