This paper examines the reliability optimization design for front-axle with non-normal distribution parameters.
讨论了随机参数服从非正态分布前轴的可靠性优化设计问题。
So this paper selects Rescaled Range (R/S) Analysis which not only analyses normal distribution series but also analyses non-normal distribution series.
因此，本文选择了R／S分析法，它不仅能对正态分布序列进行分析，还能对非正态分布序列进行分析。
From a probability basic equation through mathematical deduction, a probability integral equation is set up in constraint condition of non-normal distribution.
从概率基本公式出发，在偏态分布的约束条件下，经数学推导；建立概率积分式。
By means of the density function fitting method of weighted sum of normal kernels the optimizing problem of template matching for non-normal distribution image is solved.
并用正态核加权和密度函数拟合法解决了非正态图象模板匹配的优化问题。
Results Default arithmetic of regression tree can't be used directly under the condition of non-normal distribution, existence of outlier would make the problem more severity.
结果当应变量非正态分布时，直接应用现有回归树算法不能得出正确的分析结论；而当存在极端值时这一问题更为严重。
Difference of measurement data was compared with single factor analysis of variance. After normal transformation, the non-normal distribution data were conducted with statistical disposal.
计量资料差异性比较采用单因素方差分析，非正态分布资料经正态转换后再作统计学处理。
This paper centers on the assumption that the actual distribution of the errors in GIS position data might be non-normal.
本文的研究围绕GIS位置数据的误差分布可能是非正态的这个问题展开。
Conclusions There are no evident differences in the distribution of PC-1 genotypes among T2DM, non-diabetic relatives, and normal controls.
结论(1)T2DM患者、非dm一级亲属和正常人中该多态性分布没有明显差异。
Since mixture normal distribution is the non-mixed , the estimation and test have many difficulties .
由于混合正态分布模型是非正则的，它的参数估计及其检验都存在很多困难。
Since mixture normal distribution is the non-mixed , the estimation and test have many difficulties .
由于混合正态分布模型是非正则的，它的参数估计及其检验都存在很多困难。
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