在竞争失效场合下,建立了Weibull产品的具有二项移走的逐步Ⅱ型截尾寿命试验模型.针对一般近似算法在小样本情形下精度较低的问题,以Gamma分布综合产品的先验信息,采用Gibbs抽样建立了参数的Bayes估计.利用Bootstrap方法、Bayes后验分布法分别构造了参数的置信区间.最后,利用随机模拟方法对估计结果进行了比较,结果表明在小样本情形下,Bayes比MLEs估计效果更好. In the case of competition failure, a step Ⅱ type censoring life test model with binomial removal of Weibull products is established. For the problem of low accuracy of the general approximation algorithm in the case of small samples, the priori information of Gamma products , Bayesian estimation of parameters is established by using Gibbs sampling method, and the confidence intervals of parameters are respectively constructed by Bootstrap method and Bayes posterior distribution method.Finally, the stochastic simulation method is used to compare the estimation results. The results show that in the small sample case, Bayes Better than MLEs estimation.