摘要
在假设检验中,人们总希望犯两类错误的概率都很小,但这很难实现。本文介绍了当样本容量n固 定,显著性水平a为特定值时,使“犯第二类错误”的概率取得极小值的方法。
In the test of hypothesis, the probability of making both mistakes is expected to be small. However, it is difficult to do so. This article introduces a method of getting the minimal value of the second mistake when capacity of sample is fixed and level of significance a is a special value.
出处
《北京工业职业技术学院学报》
2004年第2期58-60,共3页
Journal of Beijing Polytechnic College