In particular, we focus discussion on joint confidence sets of the parameter mean and variance when a rounded sample comes from the normal distribution with both parameters unknown.
特别地，本文集中讨论当数据是来自参数未知的正态分布四舍五入后的数据，均值和方差的联合置信集。
The results indicate that the initial deviations of the joint positions match normal probability density function limited in the range of double mean variance.
随机缺陷分析方法中假定结构每个节点的位置偏差符合二倍均方差范围内的正态概率密度函数是可以接受的。
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