搜索资源列表
weightpercent
- Returns weighted percentiles of a sample given the weight vector w ％ The idea is to give more emphasis in some examples of data as compared to ％ others by giving more weight. For example, we could give lower weights to ％ the outliers. ％ The
Unary-Linear-Regression-Model
- 最小二乘法拟合一元线性回归函数，并进行显著性和拟合优度检验。-Least squares fit linear regression functions, and for significance and goodness of fit test.
fitness
- 曲线拟合法：本方法分别利用一元线性函数、对数函数、指数函数和抛物线函数对数据拟合，取拟合优度判定系数最大者作为预测模型，得出预测值及预测区间（置信度为0.95）-Curve fitting: This method is the use of a linear function, respectively, logarithmic, exponential and parabolic functions for data fitting, goodness of fit to take the
Body-Area-Networks
- 一个身体部位比较模型的新方法网络（BAN）的，可以容纳多个环节和多个科目。所述的绝对测量允许跨频谱可能刻画的比较 从单参数为整个合奏，通过基于参数化到每个活动，每个学科和每个环节模型。使用错误，并明确之间权衡复杂性，在一个善良的适应措施相结合，显示有重要的影响时，适用于一系列典型的禁止通道数据。它是有不同的 在模式的选择的影响，以及它相关的复杂性，混合活动的“日常”的数据，设置活动相比，动态数据（例如步行）。平均路径损耗的不足，甚至位数的路径损失的措施，作为唯一的表征还强调“禁止通道。
curve-combine
- MATLAB提供了各种曲线拟合方法，例如：Exponential, Fourier, Gaussing, Interpolant, Polynomial, Power, Rational, Smoothing Spline, Sum of Functions, Weibull等，当然，也可以使用 Custom Equations. cftool不仅可以绘制拟合后的曲线、给出拟合参数，还能给出拟合好坏的评价参数(Goodness of fit)如SSE, R-square, RMSE等数据，非
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
K_gam
- 该程序分析画出数据的直方图，并实现Gamma分布的拟合优度检验（卡方检验），-The program analysis to draw a histogram of the data, and Gamma distribution goodness of fit test (chi-square test)
Untitled27
- 二次函数拟合，采用regress进行拟合，可分析拟合度。-Quadratic function fitting using regress fitting, goodness of fit can be analyzed.
x2em
- 实现对给定的数据服的拟合优度的检验，内有详细程序说明-To achieve a given data service goodness of fit test, with detailed descr iption of the procedures
GNNM
- 灰色预测与BP神经网络系统结合程序源码，具有较高拟合度。用于预测-Grey prediction system of BP neural network combined with the program source code, with a high goodness of fit. Used to predict
matlab_baoxian
- 完成一个多元线性回归模型，并给出回归结果，给出q值检验，拟合优度。画出残差图，对结果进行分析。-To complete a multiple linear regression model, and gives regression results, given the q value, goodness of fit. Residual plotted on a graph to analyze the results.
Fitting_Gumbel
- 对轨道不平顺采用耿贝尔分布进行拟合优度检验-On track irregularity using Gumbel distribution goodness of fit test
Fitting_LOG
- 对轨道不平顺的分布采用Logistic分布进行拟合优度检验-On track irregularity of distribution by Logistic distribution goodness of fit test
AIC_MDL
- AIC & MDL The Akaike information criterion (AIC) is a measure of the relative quality of statistical models for a given set of data. Given a collection of models for the data, AIC estimates the quality of each model, relative to each of the other m
AnDartest
- Anderson darling for goodness of fit to test of distribution
weibull
- generate Weibull distribution from the uniform distribution and compare it with Matlab built-in function then test the goodness of fit using generated chi-square and Matlab built-in function
11-27-model
- 利用R软件建立混合效应模型，对于不同随机效应参数的混合模型进行对比(develop the mixed-effects models and compare the goodness-of-fit)
KS样本划分代码
- K-S，即kolmogorov检验法，亦称拟合优度检验法。用来检验给定的一组数据是否来自分布F=F0，原理是若H0成立，则max|v/n-F0(qj)|应该很小，用手算几乎在绝大多数情况下是不可能的，通常借助统计软件，如SAS，S+等(K-S, namely Kolmogorov test, also known as goodness of fit test. It is used to test whether a given set of data comes from the distr