Type II error

Causes of the two types of errors and how to control Type II error are discussed and solution is proposed for reference .

本文对于两类错误的成因以及如何控制第二类错误进行了探讨，希望对于第二类错误的控制提出一些解决的方法。

Based on the hypothesis of Xbar-R control chart , the type II error (β risk ) of Xbar-R control chart was studied when the Sample 's mean at time t lied in different positions between upper control limit and lower control limit of Xbar-R chart .

从Xbar-R控制图的假设检验问题出发，研究了t时刻样本均值（Xbar）和极差（R）处于控制限内不同位置时，Xbar-R控制图假设检验的第二类错误（β风险）问题。

The performance of the type II error is consistent with the comparison result of the accurate rate .

型二误差的绩效则与正确率比较结果一致。

Some key technologies such as the methods of determining the inspection decision , the priori probability and the probability of Type II error ( viz . adopting-the-false ) as well as the methods of generating random samples and regenerative sub-samples are discussed .

讨论了检验过程中的关键技术，即检验决策、验前概率、采伪概率的确定以及随机样本与再生子样的产生方法。

Compared with the mixed linear model analysis , the analysis of variance could result in higher type I or II statistical error rates .

相对线性混合模型分析法，方差分析法分析该试验时，依测验的效应不同会导致第一类或第二类统计错误率的增大。