登录
首页 » matlab » A-linear-regression

A-linear-regression

于 2013-05-01 发布 文件大小:4KB
0 303
下载积分: 1 下载次数: 42

代码说明:

  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 calculated intercept, calculation of DW statistic, and by means of regression analysis package to calculate the regression coefficient and the estimation of test statistics.)

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • dcpwm1
    dc motor pwm control in matlab
    2009-06-01 21:46:57下载
    积分:1
  • InvertedPendulumControled_PID
    SimMechanics pendulum used for control optimization
    2014-01-25 16:05:24下载
    积分:1
  • Friedlander
    Friedlander算法,假定服务基站的二维坐标为(0,0),基站数为4,多基站的以后上传.test是一个测试程序.(Friedlander algorithm, assuming service station-the two-dimensional coordinates (0,0). the number of four base stations, base station over the next uploads. test is a test.)
    2007-04-21 11:58:20下载
    积分:1
  • NWA-Folder
    This folder contains Matlab functions for the Enhanced Interval Approach (EIA) in: Simon Coupland, J. M. Mendel and Dongrui Wu, “Enhanced Interval Approach for Encoding Words into Interval Type-2 Fuzzy Sets and Convergence of the Word FOUs,” IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 2010. All following functions were tested in Matlab 7.4.0 (R2007a) under Windows 7: centroidIT2: Compute the centroid of an IT2 FS. EKM: Implement the Enhanced KM algorithms. IA: Implement the Interval Approach for word encoding. mainJPL: Illustrate IA and EIA using the JPL dataset. mainWeb: Illustrate IA and EIA using the Web dataset. mg: Compute the membership grades of a vector of numbers on a T1 FS. plotFigures: Plot Figs. 3.18, 3.19 and 3.20 in the book. plotIT2: Plot an IT2 FS. Last modified by Dongrui Wu (dongruiw@usc.edu), May 2, 2010.
    2013-12-19 03:02:01下载
    积分:1
  • kmeans
    function [L,C] = kmeans(X,k) KMEANS Cluster multivariate data using the k-means++ algorithm. [L,C] = kmeans(X,k) produces a 1-by-size(X,2) vector L with one class label per column in X and a size(X,1)-by-k matrix C containing the centers corresponding to each class. Version: 07/08/11 Authors: Laurent Sorber (Laurent.Sorber@cs.kuleuven.be) References: [1] J. B. MacQueen, "Some Methods for Classification and Analysis of MultiVariate Observations", in Proc. of the fifth Berkeley Symposium on Mathematical Statistics and Probability, L. M. L. Cam and J. Neyman, eds., vol. 1, UC Press, 1967, pp. 281-297. [2] D. Arthur and S. Vassilvitskii, "k-means++: The Advantages of Careful Seeding", Technical Report 2006-13, Stanford InfoLab, 2006.
    2011-12-22 19:38:16下载
    积分:1
  • matlabziliao1222222
    matlab6.0数学手册、matlab语言与控制系统仿真 。帮助你学习并更方便的使用matlab(classical algorithm matlab process more than the classic algorithm matlab procedures, including interpolation and fitting, planning problems, solution of equations, graphics, data analysis, etc.)
    2009-05-20 21:55:56下载
    积分:1
  • xianx
    内容丰富的OFDMA比特、功率、子载波分配算法。(OFDMA bit rich, power, subcarrier allocation algorithm.)
    2010-05-09 19:15:01下载
    积分:1
  • amsys
    simulation modulate & demod AM
    2011-05-10 12:40:04下载
    积分:1
  • A-Guide-to-MATLAB-for-Beginners-and-Experienced-U
    A matlab guide book.
    2012-04-17 20:12:28下载
    积分:1
  • important
    mimo系统容量的描述,注水算法,用于下一代移动通信领域(Description mimo system capacity, water algorithm for next-generation mobile communications)
    2014-02-25 08:53:28下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载