fisher

自举是一种由重采样估计，独立和（蒙特卡洛重采样）等概率设置一个单一的数据统计变化的一个途径。允许的措施估计那里的潜在分布是未知的或者样本量很小。他们的结果与这些分析方法的统计特性相一致。 在这里，我们使用非参数逼近。非参数引导更简单。它不使用该模型的结构，建造人工数据。矢量[易西]是重采样，而不是直接与replecement。这些参数是从这些对构建。 二，回归模型时，应使用在回归方程中的两个变量是随机的，会有错误的，即不是由研究者控制。模式，我用普通最小二乘回归低估了变量之间的错误时，他们都含有线性关系的斜率。据索卡尔和罗尔夫（1995），模型二回归的主题是一对哪些研究和争论仍在继续，最终建议是很难做出。 BOOTGMREGRESS模型II是一个引导程序。这需要s引导和规范样品前坡计算变量。这两个变量的每个转化为具有零均值和标准差的一个。由此产生的斜率是线性回归系数的Y在X里克创造了这个词（1973）几何平均数并给出了一个模型II回归广泛审查。它也被称为引导标准的主要轴线(The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their results are consistent with the statistical properties of those analytical methods. Here, we use the Non-parametric Bootstrap. Non-parametric bootstrap is simpler. It does not use the structure of the model to construct artificial data. The vector [yi, xi] is instead directly resampled with replecement. The parameters are constructed from these pairs. Model II regression should be used when the two variables in the regression equation are random and subject to error, i.e. not controlled by the researcher. Model I regression using ordinary least squares underestimates the slope of the linear relationship between the variables when they both contain error. According to Sokal and Rohlf (1995), t)

医学图像分割，对人的ct图像效果较好，对一般的图像较差，可以借鉴(Medical image segmentation, image effect on human ct good image of the poor in general, can learn)

matlab工具箱函数汇总:统计工具箱,优化工具箱,样条工具箱,偏微分方程数值解工具箱(matlab toolbox function summary: Statistics Toolbox, Optimization Toolbox, Spline Toolbox, the numerical solution of partial differential equations Toolbox)

matlab 遗传算法库，此版本源码是设菲尔的大学开发，对应西电出版《Matlab遗传算法》(ga box for MATLAB)

本文件是关于机组分配在程序，适用于机组组合。(this file is about the power system generator distribution.)

extension of CS的可运行代码，很好的实现了论文中的实验，代码可运行，很详细(extension of CS can run code to achieve a good thesis experiment, the code can be run in great detail)

三电平三相四线制APF，在abc坐标系下进行电流环的控制，采用无差拍控制策略和载波同相调制方法，能够抑制谐波，补偿无功和治理三相不平衡，matlab2006b,高版本可能需要更换低通滤波器(Three- level three- phase four-wire APF, current loop control in abc coordinates, using deadbeat control strategy and carrier-phase modulation method that can suppress harmonics, reactive power compensation and governance phase unbalance, matlab2006b, high version may need to replace the low-pass filter)

自动排列寻找矩阵个点距离，并找出各个点的最近点，并导出所在位置，(Auto Arrange to find the distance matrix of points and find various points of the nearest point, and export location,)

利用免疫演算法的特性去模擬tsp的問題加以求解路徑的最佳化(The use of immune algorithms to simulate the characteristics of problem solving tsp path optimization)

当M=4时，QAM的蒙特卡罗仿真程序，绘出误符号率和误码率曲线，并和理论曲线比较。(When M = 4 Shi, QAM of the Monte Carlo simulation program, draw the symbol error rate and bit error rate curve, and and the theoretical curves.)