搜索资源列表
Iterative-algorithms
- 迭代拟合线性coregionalization的模型算法-Iterative algorithms for fitting a linear model of coregionalization
dataanalysis
- 数据拟合 可以进行线性回归，多项式次数不超过就此-data analysis
linear-degree-and-residues
- 可用于拟合化学分析中的一元线性回归并绘制残差图，找出可疑数据，对化学分析工作者很有用！-Caculated the linear degree and residues of all values you got.Very important for the chemical engineers and scientists.
classical_algorithm
- Matlab 经典算法的程序集锦，包含线性回归、数据拟合、方程求解、画图-Matlab classical algorithm of the program highlights, including linear regression, data fitting, equation solving, drawing, etc.
NR_C301
- 数值计算方法，包括插值和拟合、数值微分和数值积分、求解线性方程组的直接法和迭代法、 计算矩阵特征值和特征向量和常微分方程数-Numerical methods, including interpolation and fitting, numerical differentiation and numerical integration of direct methods and iterative methods for solving linear equations, computing
FB_MultipleRegression
- 多元回归源代码。回归方式：配置为0表示进行多元线性回归；1进行多项式回归；2进行多元二次回归。变量/阶数：回归方式配置为0时表示参与回归的变量数，配置为1时表示回归的阶数；（默认待回归变量不超过6个或拟合阶数不超过6次） -Multiple regression source code. Regression: Configure multiple linear regression polynomial regression 2 multivariate quadratic regre
multiregress_data_test
- 这套源码主要是对多变量使用马尔科夫毯算法选择重要变量，并使用线性回归的方法对这些重要变量进行数据拟合-Set of source multivariate Markov blanket algorithm selects the important variables using linear regression data fitting of these important variables
Variogram_linear
- 克里金插值中使用线性方式拟合出的球状模型的变异函数系数-Kriging interpolation using a linear fitting spherical variogram model coefficients
Variogram_regress
- 克里金插值中用回归方法和线性方法拟合出的球状模型的系数。-Kriging the spherical model coefficients using regression fitting.
quxiannihe
- 利用曲线拟合的线性最小二乘法求被逼近函数f(x)在点x=55处的近似值，并画出实验数据和直线。-c language curve fitting
codes-for-numerical-analysis
- 高教版数值分析的matlab代码,误差与范数,非线性方程（组）的数值解法,解线性方程组的直接方法,解线性方程组的迭代法,矩阵的特征值与特征向量的计算,函数的插值方法,函数逼近与曲线（面）拟合,数值微分，数值积分，常微分方程（组）求解-entire codes for numerical analysis based on matlab
fitting-code
- vb6.0编写的最小二乘法直线拟合、二次曲面拟合程序，线性方程组采用列主元高斯消去法。-vb6.0 prepared by the method of least squares fitting a straight line, the quadratic surface fitting procedure, linear equations using Gaussian elimination main-element.
Numerical-Analysis-for-Statisticians
- Java常用数值算法集 共有数值计算中常用的Java方法近200个．内容包括：解线性代数方程组、插值、数值积分、特殊函数、函数逼近、随机数、排序、特征值问题、数据拟合、方程求根和非线性方程组求解、函数的极值和最优化、数据的统计描述、傅里叶变换谱方法、解常微分方程组、两点边值问题的解法和解偏微分方程组．-Java common set numerical algorithm the total numerical calculation commonly used Java method
A-linear-regression
- 一元线性回归中，主要计算拟合优度（相关系数平方）、计算标准误差、计算F统计量、计算截距的t统计量、计算DW统计量等，以及借助回归分析程序包计算回归系数并估计检验统计量。-A linear regression, the main computing goodness-of-fit (correlation coefficient Square), calculation of standard error, calculation of F statistic, t statistic calc
System-modeling-and-simulation
- 系统建模与仿真的相关程序，僻因子，双线性，特征多项式拟合，离散状态等相关内容。-System modeling and simulation program, secluded factor, the bilinear characteristic polynomial fitting, discrete state and other related content.
shuzhifenxi
- matlab数值分析的应用，包括方差分析、均匀试验设计、描述性统计分析、曲线拟合、线性回归和正交试验设计。-Application of MATLAB in numerical analysis, including analysis of variance, the uniform experimental design, descr iptive statistics analysis, curve fitting, linear regression and orthogonal test
zuixiaoerchengfa
- 本人收集matlab实现最小二乘法线性、一元多项式拟合、多元二次拟合、自编函数曲线拟合程序，有文档说明-I collect the linear least squares method matlab realize, one yuan polynomial fitting, multivariate quadratic fit, self-function curve fitting procedures, documentation
LS
- 最小二乘的直线与曲线的拟合，以及利用matlab编程时多元线性回归-least square
chazhi
- 详细介绍了matlab插值与拟合方法，包括拉格朗日多项式插值、牛顿插值、分段线性插 值、Hermite 插值和三次样条插值和曲线的最小二乘拟合、多项式拟合方法、最小二乘优化所有程序均有相应的说明与应用实例-Details of the matlab interpolation and fitting methods, including Lagrange polynomial interpolation, Newton interpolation, piecewise linear inte
multi-kernels-SVR
- 全局核（线性）与局部核（高斯）的加权组合，用于改进SVM的拟合和预测能力-The global kernel (linear) and local kernel (Gauss) weighted combination, to improve the SVM ability of fitting and prediction