论文部分内容阅读
本文重点推出了一维及多维正态总体均值的Ｂａｙｅｓ统计决策假设检验理 论，对该方法在我国常规兵器射表检查中的应用进行了探索性研究，通过改变拒绝域 临界值的取值，来提高射表检查的准确性。同时对古典假设检验方法与Ｂａｙｅs 假设检 验方法在射表检查结果评定中的应用作了分析比较，得出后者优于前者的结论。
This dissertation focuses on the Bayesian statistical hypothesis testing theory of one-dimensional and multi-dimensional normal population averages, and explores the application of this method to the conventional weapons inspection in our country. By changing the value of rejection threshold, Improve the accuracy of the radio test. At the same time, the application of classical hypothesis testing method and Bayes hypothesis testing method in the evaluation of radiometric inspection results are analyzed and compared, and the conclusion that the latter is superior to the former is obtained.