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norm01.rar
- 自己编写的随机数产生程序 可以产生(0,1)之间的正态分布随机数,I have written procedures for the random number generator can generate (0,1) random number between normal distribution
Parzen
- parzen算法的vc实现代码,包括正态分布和均匀分布。-vc achieve parzen algorithm code, including the normal distribution and uniform distribution.
fenbujianyan
- 此程序是用来检验一组已知数据是否服从一定分布的:如,正态分布,t分布,poisson分布等。-This procedure is used to test whether a given set of data to obey a certain distribution: for example, normal distribution, t distribution, poisson distribution.
random-inc
- 用c语言编写的产生正态随机数的源代码: 算法一产生12个(0,1)平均分布的随机函数,用大数定理可以模拟出正态分布。 算法二用到了数学中的雅可比变换,直接生成正态分布,但此算法在计算很大规模的数时 会出现溢出错误。-With the c language normal random number generation source code: Algorithm 1 produces 12 (0,1) the average distribution of the rand
distribution
- 产生均匀分布、正态分布、瑞利分布、泊松分布这几种分布的随机数,包括实现各部分的子函数和主函数-Produce uniform distribution, normal distribution, Rayleigh distribution, Poisson distribution random number distribution of these types, including the realization of the various parts of the Functions a
random
- 利用matlab语言编写的标准正态分布,泊松分布,瑞利分布下的随机数的产生。-Use of matlab language standard normal distribution, Poisson distribution, Rayleigh distribution under the random number generation.
3
- 典型时间序列模型分析 设有ARMA(2,2)模型, X(n)+0.3X(n-1)-0.2X(n-2)=W(n)+0.5W(n-1)-0.2W(n-2) W(n)是零均值正态白噪声,方差为4 (1)用MATLAB模型产生X(n)的500观测点的样本函数,并会出波形; (2)用你产生的500个观测点估计X(n)的均值和方差; (3)画出理论的功率谱 (4)估计X(n)的相关函数和功率谱 -Analysis of typical time series model w
shifouzhengtai
- 判断一组数据是否是正态分布,并且画出概率密度曲线-A set of data to determine whether it is normal
HZNormalityTest
- 基于Henze-Zirkler法的检验数据的多元正态分布性质的程序-Henze-Zirkler method for normality testing
test3
- 1)产生高斯白噪声; 2)产生高斯色噪声; 3)产生高斯谱相关对数正态分布随机序列; 4)对产生的上述随机序列进行功率谱估计; 5)对产生的上述随机序列进行概率密度函数估计。(Generating a Gaussian spectral correlation logarithmic normal distribution random sequence;)
Desktop
- 不需要调用函数编写正态分布生成随机数程序(normal distribution generate random numbers)
正态分布、均匀分布噪声特性分析matlab
- 随机信号均匀分布、正态分布噪声特性分析。随机信号试验。(matlab uniform distribution normal distribution)
Normal cloud distribution source program1
- 本代码为正态云分布源程序,用于模糊随机分布过程中分布概率的拟合。(Normal cloud distribution source program)
正态分布的蒙特卡罗随机抽样
- 产生正态分布的随机数(produce random)
MY DATA正态分布、T分布、高斯分布拟合曲线
- 风电功率预测误差的正态分布,t分布,贝塔分布(Wind power prediction error of the normal distribution, t distribution and beta distribution)
Desktop5
- 用C语言产生正态分布随机数、泊松分布随机数和瑞丽分布随机数(Using C language to produce normal distribution random number, Poisson distribution random number and Rayleigh distribution random number)
C#生成正态分布数
- 用C#生成符合正态分布数,并在界面进行显示(Using C# to generate normal distribution numbers, and display them at the interface.)
zhengtai
- 一维正向云模型算法,李德毅老师的云模型基础中的正向和逆向算法的结合描述正态云的代码(One-dimensional forward cloud model algorithm, Professor Li Deyi's cloud model based on the combination of forward and reverse algorithms to describe normal cloud code)
RandomField2DCholMethod
- 基于乔列斯基分解法生成二维相关对数正态分布随机场。(Two dimensional correlated lognormal distribution random fields are generated based on the choulesky decomposition method.)
正态分布下的最大似然估计
- 以简单的举例来实现正态分布下的最大似然估计,并绘图进行对比(The maximum likelihood estimation method is used to estimate the bit error rate of information transmission. A simple example is given to realize the maximum likelihood estimation under normal distribution, and the drawi