Variances Dcolumn

Computes a single-factor analysis of variances test using only means and variances(without data). It can be a Model I or Model II for equal or unequal sample sizes. It nedds to imput the data matrix (size of matrix must be n-by-3; sample sizes=column 1, means=column 2, variances=column3), the...

The GMM returns the cluster centroid and cluster variances for a family of points if the number of clusters are predefined. The centroid and variance can then be passed to a Gaussian pdf to compute the similarity of a input query point with reference to given cluster.

In the Obrien's test to check out the homogeneity of variances the data are transforming toyij = ((nj-1.5)*nj*((xij-mean(xj))**2)-((0.5)*(var(xj))*(nj-1)))/((nj-1)*(nj-2))and uses the F distribution performing an one-way ANOVA using y as the dependent variable.


Platforms: Matlab

Track your project expenses effectively and increase profits!. Construction Job Cost Tracking and Reporting System for Excel. Designed specifically for contractors, builders, remodelers, project managers, cost engineers and architects, JobCOST Controller tracks construction costs tied to...


Platforms: Windows

Define your database structure and relations once using the ZsqlML (Zenark's SQL Markup Language) XML DTD, and then generate mulitple vendor-specific SQL scripts, thereby solving the issue of SQL script variances across multiple platforms.


Platforms: Windows, Mac, Linux

Heteroskedasticity is a sequence of random variables, that could affect statistical data if they have large variances.It will need and use the 'regstats' and 'chi2cdf' functions from the Statistics Toolbox. Requirements: - MATLAB 7.7 or higher - MATLAB's Statistics Toolbox


Platforms: Windows, Mac, *nix, Matlab, BSD Solaris

In the past several years compact radio navigation receivers have proliferated in the civilian market place, generally under the name of GPS or Global Positioning System. Appearing as handheld units or built into cars, mobile phones, and airplanes, these commercial applications originated from a...


Platforms: Matlab

This implementation includes modules for radiometric enhancement of colored 3D point clouds. The introduced method balances the colors of -preferably but not necessarily- overlapping point clouds in such a way that the color variances in overlapping parts of the point clouds are reduced. See...


Platforms: Matlab

This function calculates the variance of a population using only the means, variances and number of observations of its subpopulations.This means you do not need to keep all individual observations in each subpopulation to later find out the variance of the pooled data.


Platforms: Matlab

Estimates the power and the hypothesis testing for difference between two variances. The one or two-tailed hypothesis is submitted to the variance ratio test, that automatically it places the larger variance in the numerator and the smaller in the denominator. File asks for the statistical...


Platforms: Matlab

Analysis of Means (ANOM) is a statistical procedure for troubleshooting industrial processes and analyzing the results of experimental designs with factors at fixed levels. ANOM is an alternative to ANOVA for a fixed effects model. Unlike ANOVA only determines if there is a significant difference...


Platforms: Matlab

Generates a sample of observations having user defined correlation matrix R. Optionally, the user may also define the means and variances. If unspecified, these two arguments will default to a mean vector of zeros and variance vector of ones.


Platforms: Matlab

The Greenhouse-Geisser epsilon value measures by how much the sphericity assumption is violated. Epsilon is then used to adjust for the potential bias in the F statistic. Epsilon can be 1, which means that the sphericity assumption is met perfectly. An epsilon smaller than 1 means that the...


Platforms: Matlab

Gives a menu to choose an homoscedasticity test as Bartlett, Cochran, Brown-Forsythe, Levene, O'Brien and Welch. It only needs the input data matrix and the significance level. To output the sample variances vector and whether or not the homoscedasticity was met.


Platforms: Matlab

Levene's F test is used to test the null hypothesis that multiple population variances corresponding to multiplesamples are equal. Prior to the analysis the data are transforming to the absolute deviation of the mean. Then perform an one-way analysis of variance.


Platforms: Matlab

Gives the p-value associated to the Cochran's statistics ratio of the largest S^2 to their total (max(S^2)/sum(S^2)). Function needs the Cochran's C statistic, the k variances and the v sample degrees of freedom.


Platforms: Matlab

Cochran's C is a set of k Chi-squared distributed sums of squares (or the corresponding variances), each of v degrees of freedom. To accept at a significance level (alpha) that the maximum variance differ from the other ones, one should examine this function. It works for equal or unequal sample...


Platforms: Matlab

Sample size required to achieve a specified test for difference between two variances, using the normal approximation. This estimate assumes equal or unequal sample sizes. File only needs the sample size vector, variance vector, hypothesis direction, desired sample size (equal or unequal), sizes...


Platforms: Matlab

There are several tests for homogeneity of variances. Fligner and Killeen (1976) suggest ranking (i) the |x_ij - mean| as normal type scores (a) by (0.5 + i/2(N+1)). Where i is the group and j the observation. The replacement of the mean by the median, a modification, is an attempt to improve the...


Platforms: Matlab

The homogeneity of variances test is a useful tool in many scientific applications. Boos and Brownie (2004) and Conover et al. (1981) give a broad review.Here, we developed an m-file as an alternative to the homogeinity of variances test considering the modification of the Bartlett's test...


Platforms: Matlab