中文摘要：

在Bayes理论基础上，采用序贯验后加权检验（the sequential posterior odd test，SPOT）方法可以有效地减少试验所需的样本容量。首先针对对数正态分布均值的SPOT方法进行了深入分析，给出了在抽样试验之前确定假设检验问题所需样本容量和决策阈值的计算方法，然后结合装备部件维修性试验数据和结果进行了对比分析，验证了该方法在减小样本容量及提高试验效费比方面的有效性。

英文摘要：

On the basis of the Bayesian theory and by making use of the prior information of the unknown parameters effectively, the sample size can be reduced greatly by the sequential posterior odd test （SPOT） method. The SPOT method of the mean in the logarithmic normal distribution is discussed in detail, and the sample size and the threshold value which are needed before a test are worked out. By analyzing the results of the armored vehicle＇s components Maintainability test, it is proved that the SPOT method is effective to reduce the sample size and improve the test efficiency.