1) joint distribution
联合分布
1.
The Gumbel-hougaard Copula function was used to analyze the joint distributions between annual maximum daily storm and seven-day storm amounts which are both with Pearson type III marginal distributions.
利用Gumbel-Hougaard Copula函数构建边缘分布均为PIII型分布的年最大日雨量与年最大七日雨量之间的联合分布。
2.
A bivariate joint distribution with Pearson Type III distribution margins is developed based on Gumbel-Hougaard Copula and used to describe two seasonal maximum flood series.
采用Gumbel-Hougaard Copula函数描述两个分期的分期最大洪水之间的相关性结构,并构造边缘分布为P-Ⅲ分布的分期最大洪水联合分布,建立分期最大洪水与年最大洪水的关系式,讨论分期设计洪水频率与防洪标准应满足的关系,探讨能够满足防洪标准的新的分期设计洪水模式。
3.
This paper proves joint distributions of multiple order statistics different from other documents;then studies distributions of single order statistic on the basis of joint distributions of multiple order statistics;finally systematically studies condional distributions of order statistics.
与其它文献研究顺序统计量的分布的方法不同,下文先用归纳法证明了多个顺序统计量的联合分布,接着又根据顺序统计量的联合分布研究了单个顺序统计量的分布,最后关于其条件分布也进行了系统的研究。
2) joint probability distribution
联合分布
1.
The Gumbel-Hougaard Copula was employed to construct a bivariate joint probability distribution for describing flood peak and flood volume,whose marginal distributions are both the Pearson type Ⅲ.
利用Gumbel-Hougaard Copula构造边缘分布为PⅢ型分布的两变量联合分布,用以描述洪峰和洪量。
2.
A joint probability distribution model of the tide level is established in the Wusongkou and the rainfall in the Taihu Lake area for calculating the probability of occurrence of the specified design tide level in Wusongkou,the design rainfall in Taihu Lake area and the corresponding rainfall in the reach.
分析了黄浦江水位的主要影响因子及其相关关系，建立了黄浦江吴松口潮位与太湖地区降雨量的联合分布模型，计算出不同频率的吴淞口设计水位与不同频率的太湖地区设计降雨量及相应的黄浦江区间降雨量相遭遇的概率，并采用水动力学模型结合外包方法确定出相应组合频率下的黄浦江设计水面线，为上海市远期设防标准的确定提供决策支持，并为论证吴淞口建闸的必要比提供科学依据。
3.
The period non-stationary probability and thejoint probability distribution for the system are aCquired.
获得了系统周期形式的非平稳概率分布及位移－速度联合分布。
3) joint distribution principle
联合分布律
4) joint degree distribution
联合度分布
1.
By the rate-equation approach,the joint degree distribution of two linked nodes for BA model is provided,it is a extended result.
关于相邻点对的联合度分布,利用率方程方法把已有的结果推广到BA模型的一般情况。
5) joint probability distribution
联合概率分布
1.
The Gumbel-logistic model for joint probability distribution of extreme-value wind speeds and effective wave heights;
耿贝尔逻辑模型在极值风速和有效波高联合概率分布中的应用
2.
The problem of establishing n-dimensional joint probability distribution function in risk calculation of the series system is overcome.
针对这一问题,在以往的研究基础上,根据Ditlevsen界限,进一步建立了基于二维Gumbel分布的长距离输水系统的综合水文风险评估模型,从而巧妙地解决了串联系统风险计算中如何建立n维联合概率分布函数的难题。
3.
One of the image registration methods is to achieve the registration by the maximization of the concentration of joint probability distribution at the 2D plane through computing joint probability distribution with intensity information.
从图像的灰度信息出发,对联合概率分布进行计算分析,通过最大化联合概率分布在二维平面上的聚集度来完成图像的配准过程,并就图像在完全配准、不完全配准、相互独立的情况下其灰度值的联合概率分布进行了数值统计分析。
6) joint posterior distribution
联合后验分布
1.
Combined with the life test data of each development stage,the joint posterior distribution of each stage reliability was presented.
首先引入模型假设,以狄氏分布作为先验分布,综合利用产品研制的历史信息和专家信息,结合产品研制各阶段试验数据,给出了各阶段可靠性的联合后验分布。
补充资料：联合分布
联合分布
joint distribution
联合分布[州成由右七‘叨;eosMec，oe pacnp叭e“e““el 定义在同一概率空间上的多个随机变量的分布.设x，，…，戈是定义在概率空间(pro加bilitysP即e)(Q，.风P)上并分别取值于可测空间(刀℃留幽决sP-ace)(王*，刃*)(l簇k(n)的随机变量·这些随机变量的联合分布是集合B.6、熟，…，B。‘气的函数，定义作 px，，.x，(B，，‘二，B。)=p{Xl CB、，二，xn‘B。}.与联合分布相联系，人们还论及联合分布函数(joint曲tribu石onfu几无on)和联合概率密度(joint pro恤bilitydensity). 如果X，，…，戈是通常的实随机变量，则它们的联合分布是在”维Eudid空间(见多维分布(m阎tl-面优比沁nal曲tribu石on))R”中随机向量(戈，…，戈)的分布.如果X(t)(踌T)是一个随机过程，则对于t.，…，t。‘T，变量X(t:)，.二，X(t。)的联合分布称之为随机过程X(t)的有限维分布.(lhale~djnrnsio侧习dis州butions).
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