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计算各种分布函数的分位数，比如F分布、T分布、正态分布、BETA分布-Calculate the sub-distribution functions of various bits, such as the F distribution, T distribution, normal distribution, BETA distribution
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Parzen窗法，由样本求概密估计，例为一维正态分布和双峰均匀分布，内附随机数生成的原理说明。- window method, by the sample density estimate for estimated Example for one-dimensional normal distribution and bimodal uniform distribution, random number generator containing a descr iption of the pr
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一个很好的正态分布MATLAB程序，与大家共享，希望对大家有用。-normal distribution
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瑞利随机数的生成，通过两个同方差的正态分布而求得，并求出其PDF和CDF-Rayleigh random numbers generated by two normal distribution with variance that obtained and solved its PDF and CDF
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正态分布的函数代码，使用vb写的，需要的下载呀-Normal distribution function code, use vb to write, and we need to download ah
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根据输入数据计算出其正态分布概率。精准度可达1e-5.-According to input data to calculate the probability of its normal distribution. Accuracy up to 1e-5.
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moro转换算法，将0-1均匀分布转换为标准正态分布-moro conversion algorithm will convert the 0-1 uniform distribution to standard normal distribution
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水印抗攻击：由高斯正态分布序列 g1 产生 36×4 的水印信号 w0，w0 由(0,1)组成。-Watermark against attacks: from the Gaussian normal distribution generate 36 × 4 series g1 watermark signal w0, w0 from (0,1) component.
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程序只产生均值为0，方差为1的随机数，要产生均值为E,方差为D的随机数，只要随机数*D+E就可以了。
高斯随机数程序还是带参数的，参数是用来描述正态分布的一个浮点数表。-Procedure produced only mean 0, variance 1 random numbers, to produce a mean E, the variance for the random number D, as long as the random number* D+ E on it. Gau
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利用蒙特卡罗方法产生均值与方差可变的符合正态分布的随机数，-Monte Carlo method produces a variable mean and variance of the normal distribution of random numbers,
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很好的正态分布matlab 代码，适合初学者！-Normal distribution matlab code good for beginners!
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很好的正态分布代码，用简单的matlab代码编写，很清晰！-Very good normal distribution code, matlab code is written in simple, very clear!
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we have a photo camera with DC Motor and closed loop controller is equal k/s^2+s+k.
first,we shoul find ZOH,then we identify the system with ARX model that na=nb=2
Here,we want to identify the Dynamic Linear System.
we use different inputs such
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正态分布的小程序-normal distribution
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两类正态一维分布模式的贝叶斯分类程序（自己编写的）-Two kinds of normal distribution model of one-dimensional bayes classification procedures
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在VC++的平台上，显示并说明矩阵的一些操作方法，如生成正态分布、均匀分布的随机矩阵，测试矩阵乘法等-In VC++ platform to show and explain some of the matrix method of operation, such as generating a normal distribution, uniform distribution of the random matrix, test matrix multiplication, etc.
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1 通过实验，掌握多元正态分布的最大似然估计；
2 掌握多元正态分布下的最小错误率的贝叶斯分类；
3 对其他的参数估计有更深的认识。
-1 experiment, master multivariate normal distribution maximum likelihood estimation 2 multivariate normal distribution under the minimum control error rate Bayesian classifier
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用c语言画出正态分布，在屏幕上显示出它的曲线-Draw a normal distribution with the c language on the screen shows the curve of its
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采用身高和体重数据作为特征，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则.-Height and weight data used as the feature, under the assumption of normal distribution probability density estimation, establish Bayes minimum error rate classifier, written by the decision-mak
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用于对数据的拟合，包括威布尔分布、正态分布、对数正态分布-Used for fitting the data, including the Weibull distribution, normal distribution, lognormal distribution
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