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。
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.
出处
《装备制造技术》
2008年第6期1-3,共3页
Equipment Manufacturing Technology
基金
国家自然科学基金(60701006)
关键词
维修性验证
贝叶斯理论
对数正态分布
序贯
样本容量
Maintainability demonstration
Bayesian theory
Logarithmic normal distribution
Sequence
Sample size
