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pdf_calculation
- 计算各种随机分布的密度函数，并可以根据给定的概率计算分位点-the calculation of the density of random distribution function, and can be according to the probability of sub-sites
random-variable
- 已知二维随机变量(X，Y)的联合概率密度 利用MATLAB的符号运算功能，求待定系数A；P{X>1，Y>2}；边缘分布 -Known two-dimensional random variable (X, Y) the joint probability density function using MATLAB' s symbolic computation, seeking undetermined coefficients A P {X> 1, Y>
Gaussian
- 首先产生均匀分布，然后通过变换产生高斯分布的随机数，并画出概率密度函数的直方图-Uniform distribution generated first, and then converting a Gaussian distribution random number, and a histogram of the probability density function draw
ALLAN-VARIANCE-design
- 科学研究对大量实验数据基本处理一般包括求均值、方差等。现假设有一检测量，其实验测量值服从正态概率密度分布，对于此服从正态分布的数据进行阿伦方差处理，并将结果图形化显示出来。-Basic scientific research on a large number of experimental data generally includes the mean, variance. We leave a measurement, the measured values obey normal pro
kde
- 核概率密度估计算法，对于以往的有优化，可以得到概率密度及分布函数。-Nuclear probability density estimation algorithm optimized for the past there, you can get the probability density and distribution functions.
kde
- 给定样本点，采用高斯核密度估计，求出概率密度分布函数。(It is good to use this method to evaluate pdf)
structure dynamic exercise
- 针对随机结构随机激励下的动力响应概率分布求解，基于广义概率密度方法(the calculation of the generalized probability density function)