1) bivariate correlation
双变量相关
2) Bivariate Correlation statistics
双变量相关分析
4) correlated variables
变量相关
1.
The calculation for a practical example of vertical breakwater shows that the value of β ob-tained by the improved JC method and this new method(HL method) are coincided well with the case of correlated variables,and the β value for the case of correlated variab.
为探讨独立或相关荷载变量对结构可靠指标β值的影响,利用广义随机空间极限状态曲面上任一点处切平面法线确定可靠指标,在变量相关情况下采用改进的JC法或推导的HL法,对一座直墙堤实例进行核算,表明可靠指标符合良好,荷载相关时的可靠指标明显低于假定荷载独立时的结果。
5) correlative variable
相关变量
1.
According to the definition of fuzzy failure probability for fuzzy failure domain, the methods of fuzzy reliability sensitivity(FRS) analysis with correlative variables are presented.
依据失效域具有模糊性时模糊失效概率的定义,提出了相关变量模糊可靠性灵敏度的分析方法。
2.
Finally,taking advantage of the relationship between the correlative variables and the independent normal variables,the RS of the failure probability with respect to all distribution parameters of the correlative normal variables can be obtained by the chain rule of derivatives.
在所提方法中,首先将相关变量等价转换为独立正态变量,然后采用基于马尔可夫链样本模拟的线抽样方法,求解失效概率对等价独立正态变量分布参数的偏导数,最后利用等价变换前后变量分布参数之间的解析关系和复合函数求导法则,求得失效概率对相关变量分布参数的可靠性灵敏度。
3.
For the Reliability Sensitivity(RS) problem with normal correlative variables,an analytical method for linear performance function and a numerical simulation method are presented,and an efficient moment based RS method is presented as well to analyze the reliability sensitivity with the normal correlative variables.
在所提的矩方法中,相关变量首先被等效转换为不相关的变量,利用转换的不相关变量空间中均值与方差、相关性特征参数的非耦合性,得到了失效概率对相关变量均值的灵敏度,并且通过利用基本变量方差相同时,相关性描述参数与均值、方差的自然解耦,得到了失效概率对相关系数的灵敏度。
6) uncorrelated variables
不相关变量
补充资料：相关分析(见统计分析)
相关分析(见统计分析)
x Iangguan fenxj相关分析见统计分析。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条