probability density function
- probability density function的基本解释
-
-
概率密度函数
- 更多网络例句与probability density function相关的网络例句 [注：此内容来源于网络，仅供参考]
-
After the joint probability density function between the 'float' ambiguity solution and the fixed ambiguity solution is introduced in this section, the conditional probability density function of the integer ambiguity solution is gotten according to this joint probability density function.
在介绍了模糊度浮点解和其固定解的联合概率密度函数之后，本文根据这个联合概率密度函数得到了模糊度整数解的条件概率密度函数。
-
The characteristic function of the probability density function of response variable is obtained by the high efficient multidimensional numerical integration method or convolution integral based on response surface method. Then the discrete probability density function of response variable is calculated using the fast Fourier inverse transform technique, at last the cumulative distribution function of the response variable can be quantitatively determined.
首先利用高效多维数值积分方法或基于响应面法的卷积积分求解功能函数的分布函数的特征函数，也就是进行Fourier正变换；然后利用快速Fourier逆变换数值求解功能函数的概率密度函数，进而求得失效概率。
-
In the proposed frame of theory, probability density function or distribution function are also involved, but their standing are secondary. Probability density function is treated only as a probabilistic features of the failure rate function.
在本文倡导的理论体系中，也要涉及概率密度函数或分布函数，但他们仅被视为失效率函数的概率特征，讨论的路线是失效率函数的模式如何决定寿命分布的概率性质。
- 更多网络解释与probability density function相关的网络解释 [注：此内容来源于网络，仅供参考]
-
probability density function：概率密度分布函数
Probability 概率,机率 | probability density function 概率密度分布函数 | probability distribution 概率分布
-
probability density function：概率密度函数 確率密度関数
■ probability 概率 確率 | ■ probability density function 概率密度函数 確率密度関数 | ■ probability distribution 概率分布 確率分布
-
marginal probability density function：边际机率密度函数
边际机率密度 marginal probability density | 边际机率密度函数 marginal probability density function | 边际机率分布 marginal probability distribution