1) pola rdistribution
极分布
2) Pole distribution
极点分布
1.
The relations between pole distribution and time response of fractional-order systems are not the same as that of troditional systems.
与传统线性定常控制系统相比,分数阶线性定常系统极点分布与时间响应关系有所不同。
3) extreme distribution
极值分布
1.
The regression analysis methods for interval censored data from extreme distribution,Weibull distribution and normal distribution are discussed in detail.
详细讨论了工程中常见的极值分布、Weibull分布和正态分布的等尺度和非等尺度(或异方差)线性回归分析。
2.
The simulated results of three extreme distributions(Gumbel,Frechet and reverse Weibull distributions) and Generalized Parato Distribution are contrasted and analysed.
并通过3种极值分布函数(极值I型Gumbel、极值II型Frechet、极值III型reverseW eibull分布)及广义Parato分布(GPD)拟合结果的对比分析,得到短期风速资料下重庆年最大风速的极值渐进分布用极值III型(reverse W eibull)分布拟合较好,它给出了最佳的极值风速估计值。
3.
The regression analysis methods for incomplete data from extreme distribution,Weibull distribution and normal distribution are discussed in detail.
文中详细讨论了工程中常见的极值分布、Weibull分布和正态分布的等尺度和非等尺度(或异方差)线性回归分析。
4) limit distribution
极限分布
1.
A stochastic model of detective problem was built and was transformed into the problems of finding the distributions and the numerical characters of inquiry number and the problems of finding the limit distributions of the Markov chain.
以侦辑工作中的实际问题为背景 ,建立了一个随机数学模型 ,针对要解决的两种问题 ,又将原模型化为寻求随机变量的分布列及其数字特征的问题和寻求Markov链极限分布的问题 。
2.
Furthermore, the difference is studied in more details in terms of the de-trending effect, stabilization method, convergence speed variance of estimate s limit distribution, forecasting errors, dynamic features and so on.
首先分析了如何从图形与模型描述变量的特征上,区分趋势平稳过程中带常数项的单位根过程,然后从去势效果、平稳化方法、参数估计量极限分布的收敛速度、方差以及在预测、预测误差和动态性质等方面研究它们的区别。
3.
In this paper,the estimation of parameters for nominal scale population is discussed at first,Then the way of liklihood ratio test is given to judge the problem about the equal of two nominal scale pooulations,besed on the limit distribution of likelihood ratio statistic.
本文首先讨论了名义尺度总体的参数估计,然后在研究了似然比统计量极限分布的基础上,给出了两个名义尺度总体相等的似然比检验方法。
5) extreme value distribution
极值分布
1.
The extreme value distribution of dynamic stochastic response of structures;
结构动力随机反应的极值分布
2.
Approach of extreme value distribution modeling based on optimization;
一种基于最优化的极值分布建模方法
3.
A probability density evolution method for evaluation of extreme value distribution of the stochastic structural responses is presented.
提出了求解随机结构动力反应极值分布的概率密度演化方法。
补充资料：“质子-电子偶极-偶极”质子弛豫增强
“质子-电子偶极-偶极”质子弛豫增强
物理学术语。原子核外层中不成对的电子质量小，但磁动性很强，可使局部磁场波动增强，促使氢质子弛豫加快，从而使T1和T2缩短，这种效应即为PEDDPRE。过渡元素和镧系元素大部分在d和f轨道有多个不成对电子，所以其离子往往具有PEDDPRE，可用来作顺磁性对比剂，如钆(Gd)。Gd在外层有7个不成对电子，具有很强的顺磁性。
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