条件分布

词组短语

conditional distribution

与条件分布相关的网络例句 [注：此内容来源于网络，仅供参考]

In the technique of simulation, the theory of conditional expectation and conditional distribution i...

而由此引起的对后续状态转移过程的影响，是通过一种递推条件分布来考虑的。

Particularly,we use Normal and NIG conditional distribution functions respectively to combine these dynamic models.

特别地，正态条件分布函数和正态逆高斯条件分布函数被分别地与这些动态模型结合起来。

Assuming that innovation follows the conditional t distribution and conditional Generalized Error Distribution.

假设新息服从t分布和广义误差分布两种条件分布。

In addition,we show that the transformed conditional distribution function is of the same family as that of the original one as long as the moment generating function of the original distribution function exists,which is illustrated by two special cases:Normal distribution and Normal Inverse Gaussiandistribution.

此外，本文还通过两个特殊情况(正态分布和正态逆高斯分布)说明了：只要初始分布函数的母函数存在，转化后的条件分布函数保持原有的分布类型。

In this thesis,using histogram technique,aqualitative analysis of the marginal and conditional distribution is implemented.Then weconstructed a hidden markov tree model for the coefficients,and used this model for imagedenoising.

本文使用直方图方法，定性分析了分解系数的联合分布及条件分布，在此基础上利用方向性滤波器组的多尺度结构，为其系数建立了隐马尔可夫树模型。

Theorem2.1 Let EXXT is invertible , then a, b, are consistent estimation, that is to say Theorem3.2 Estimation of a is a = 1,, where x2(n - p - 1,) is noncentral x2-distribution, n - p - 1 is degrees of freedom, is noncentrality parameter.

变换下回归模型的似然估计第二节对于特殊的模型，即考虑了线性变换给出了极大似然估计的显示解，即第三节是对第二节的补充，考虑了极大似然估计的条件分布，得出主要结果如下

Such a choice provides the convenience to analyze the working and repair processes in power system operation, and the possibility to estimate failure frequency and unsupplied energy in the system.

在模拟方法上，本文首次应用条件数学期望和条件分布的概念和方法，提出了以状态持续时间的期望代替其模拟采样值的想想，显著地降低了可靠性指标统计量的方差。

In different conditions on fluidized state and stability of conical fluidized bed. The conlusions are: the conical angel of the conical fluidized bed is 20°, the fluidized state havesmall difference in conical distributor and distributor plate. The angle of conical bed increase,the fluidized state will have big difference. The angle is 60°and the conical as distributor, themass of fluidized is less, the most of material is the bottom of conical bed. The effect ofdistributor plate is much better than the conical distributor. Sawdust and rice hull can fluidize.The annular gap of conical distributor different, the angle of conical bed is same, the fluidizedquality of 10mm annular gap is better than the other conical distributors. The annular gap ismore wide, the conical bed have more slugging phenomenon and the pressure fluctuate is turnbig.In the experiment the flow of 2％and 4％distributor plates don\'t easy to control, becausethe pressure is very big and the pressure fluctuate of conical bed is too big.

在不同的条件下对锥形床的流化状态和稳定性进行了研究，结果得出：锥形床的锥角为20度时，分布锥和分布板的流化状态相差不明显，随着锥形床锥角的增大，分布锥和分布板的流化现象会出现明显的变化，锥形床锥角越大，分布锥的流化状态变化越明显，流化的的物料越少，大量物料都聚集在锥形床底部，而分布板在加料量少的情况下，能流化起来。10mm、15mm和20mm环隙分布锥在锥形床锥角相同条件下，10mm环隙分布锥的流化质量要好于其它两个分布锥，环隙越大越容易出现腾涌现象的产生，压降波动范围增大。2％、4％和6％开孔率分布板在本实验测定时，2％和4％开孔率分布板的流量不容易调节，同时产生的压降波动范围也很大，比较来说，6％开孔率分布板流化质量好些。

Monte Carlo is a method that approximately solves mathematic or physical problems by statistical sampling theory. When comes to Bayesian classification, it firstly gets the conditional probability distribution of the unlabelled classes based on the known prior probability. Then, it uses some kind of sampler to get the stochastic data that satisfy the distribution as noted just before one by one. At last, it can obtain the posterior probability distibution of each unlabelled classes by analysing these stochastic data.

蒙特卡罗是一种采用统计抽样理论近似求解数学或物理问题的方法，它在用于解决贝叶斯分类时，首先根据已知的先验概率获得各个类标号未知类的条件概率分布，然后利用某种抽样器，分别得到满足这些条件分布的随机数据，最后统计这些随机数据，就可以得到各个类标号未知类的后验概率分布。

Also: the renewal theorem, conditional probability and expectation, regular conditional distributions, stationary sequences aud the bergodic theorem, martingales, and the optimal stopping theorem.

更新理论，条件概率和期望，规则的条件分布，平稳序列和 bergodic 定理，鞅，最优停步理论。泊松过程，布朗运动，强马尔可夫性和不变原则。

与条件分布相关的网络解释 [注：此内容来源于网络，仅供参考]

conditional definition：条件定义

条件收敛 conditional convergence | 条件定义 conditional definition | 条件分布 conditional distribution

conditional density function：条件密度函数

条件信赖区间 conditional confidence interval | 条件密度函数 conditional density function | 条件分布;条件分配 conditional distribution

conditional distribution：条件分布

第一章、第二章、第三章等前三章在复习大学阶段的机率之基础,第四章开始探讨随机变数的概念(The concept of a random variable),提到了连续密度函数(PDF)与累积分布函数(CDF)与各种分布型态,以及条件分布(Conditional distribution)等基础的观念.

conditional distribution：条件分布;条件分配

条件密度函数 conditional density function | 条件分布;条件分配 conditional distribution | 条件期望值 conditional expectation

mixed conditional distribution：混合条件分布

混合条件|mixing condition | 混合条件分布|mixed conditional distribution | 混合同余方法|mixed congruential method

discrete conditional distribution：离散条件分布

discrete component logic circuit 分立元件逻辑电路 | discrete component part 個別部品 | discrete conditional distribution 离散条件分布

full conditional distribution：满条件分布

条件遗传方差:Conditional genetic variance | 满条件分布:full conditional distribution | 附条件形成权:conditional right of formation

conditional distribution function：条件分布函数

marginal probability density function 边缘概率密度函数 | conditional distribution function 条件分布函数 | conditional probability density function 条件概率密度函数

Generalized extreme value distribution：条件分布

周朔边值问题:periodic boundary value problems | 条件分布:Generalized extreme value distribution | 广义极值分布:generalized extreme value distribution

stationary distribution：平稳分布

这样的分布π被称作是"平稳分布"(Stationary Distribution)或者"稳态分布"(Steady-state Distribution). 一个平稳分布是一个对应于特征根为1的条件分布函数的特征方程.