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广西师范大学学报(自然科学版) ›› 2024, Vol. 42 ›› Issue (3): 159-169.doi: 10.16088/j.issn.1001-6600.2023062001
朱艳, 蔡静*, 龙芳
ZHU Yan, CAI Jing*, LONG Fang
摘要: 本文在逐步Ⅰ型混合截尾下,研究复合Rayleigh分布竞争失效产品部分步加寿命试验的统计分析问题。首先,基于复合Rayleigh分布竞争失效产品和损伤失效率(TFR)模型,运用极大似然理论和渐近似然理论,给出未知参数和加速因子的极大似然估计和渐近置信区间;然后,对未知参数和加速因子选取先验,利用MH抽样算法获得参数和加速因子的Bayes估计和最大后验密度置信区间(HPD);最后,通过Monte Carlo模拟对2种估计方法进行比较。结果表明:贝叶斯估计效果整体优于极大似然估计(MLE),在相同置信水平下,基于Bayes估计的HPD置信区间长度略短于MLE的渐近置信区间长度。
中图分类号: O213.2
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