On this basis, transinformations for discrete signals of Gauss and Laplace distribution in channels with four noise patterns are simulated.
并在此基础上进行分析，从而用计算机模拟出了四种噪声信道中对应高斯分布和拉普拉斯分布的离散信号信息传输量。
The models were estimated via Gibbs sampler with data augmentation by a mixture of standard exponential distribution and standard normal distribution to represent the asymmetric Laplace distribution.
由于模型参数的后验条件分布没有确定的分布形式，通过数据扩充得到参数的完全条件分布从而实现模型参数的贝叶斯估计。
Based on the limited momentum propagation velocity, this paper presents the solution of the transient momentum equation by Laplace transform. The distribution functions of velocity and eddy are given.
在考虑瞬态过程中动量扩散速度基础上，用拉普拉斯变换法对无限长平板突然起动瞬态动量定解方程进行了求解，并按涡量定义求出涡量分布函数。
Using Laplace transforms and a continued fraction method, the distribution of buffer content is achieved.
运用拉氏变换和连分数的方法求得了缓冲器容量的稳态分布。
Poisson theorem and De Moivre-Laplace theorem present the approximate calculation formula of binomial distribution.
泊松定理、隶莫佛-拉普拉斯定理给出了二项分布的近似计算公式。
In this paper, the density function of n-dimensional P-norm distribution is derived. Laplace, Normal, Rectangular and Degenerate ones are the specific case of one-dimensional P-norm distribution.
本文构造了n维p -范分布的密度函数，使拉普拉斯分布、正态分布、均匀分布与退化分布均为一维p -范分布的特例。
In this paper, the density function of n-dimensional P-norm distribution is derived. Laplace, Normal, Rectangular and Degenerate ones are the specific case of one-dimensional P-norm distribution.
本文构造了n维p -范分布的密度函数，使拉普拉斯分布、正态分布、均匀分布与退化分布均为一维p -范分布的特例。
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