对于从属随机变量统计特征的确定，本文介绍了一种精确高效的确定其均值和标准差的方法。
A new method which can efficiently and accurately calculate the mean and standard deviation of a dependent random variable is proposed.
变量的均值敏感性因子和标准差敏感性因子是高度相关的，都可以用来识别最敏感的随机变量。
The mean sensitivity coefficient and the standard deviation sensitivity coefficient are strongly related and both can be used to identify key contributing random variables.
通过现场实测，统计获得了模板支撑负担面积、支撑偏斜率随机变量的均值与标准差；通过室内试验与现场实测获得了模板支撑体系的线刚度参数。
Based on site measuring and laboratory testing, these parameters 'mean and standard deviation are calculated, and the linear stiffness for the system of formwork supports is measured.
在销售量为随机变量的时候，本文利用标准差系数来讨论销售量、税息前收益和税后收益的波动程度之间的联系。
This thesis is to analyze the coefficient of standard deviation of the earnings before interest and tax and the earnings per share.
在销售量为随机变量的时候，本文利用标准差系数来讨论销售量、税息前收益和税后收益的波动程度之间的联系。
This thesis is to analyze the coefficient of standard deviation of the earnings before interest and tax and the earnings per share.
应用推荐