对无失效数据(ti,ni)在ti时刻的失效概率pi=P{T〈ti}的先验密度的核为(1-pi)^k/2-(1-pi)^k时,给出了pi的Bayes估计,并由此得到了无失效数据可靠度的估计。最后,结合实际问题进行了计算。结果表明,利用该估计方法所得结果符合经验信息。
In this paper, when failure probability Pi = P{ T 〈 ti} prior density kernel of zero-failure data (ti,ni ) are (1-pi)^k/2-(1-pi)^k in time ti, the Bayesian estimation ofpi was obtained. Then the reliability estimation of zero-failure data was obtained. Finally, calculation was performed regarding to practical problem. It turns out that the proposed method accords with the engineering priors.