Statistical tests

Tukey's test of additivity for a two-way classification analysis of variance. in matlab

The following Matlab project contains the source code and Matlab examples used for tukey's test of additivity for a two-way classification analysis of variance. . Tukey's test of additivity for a two-way analysis of variance design with replication (can be equal or unequal sample sizes) or without replication.

Power estimation of a performed z test about mean(s). in matlab

The following Matlab project contains the source code and Matlab examples used for power estimation of a performed z test about mean(s). . Estimates the statistical power of a performed Z test about mean(s). It recalls you the statistical result of the test you should have arrived. It only needs the Z statistic, specified direction and significance level (default = 0.05).

Kruskal-wallis' nonparametric analysis of variance. in matlab

The following Matlab project contains the source code and Matlab examples used for kruskal-wallis' nonparametric analysis of variance. . Kruskal-Wallis' nonparametric analysis of variance test the difference among groups and it is applicable for equal or unequal sample sizes and if there are tied ranks. This file uses both the chi-squared and F approximations.

O'brien's test for homogeneity of variances. in matlab

The following Matlab project contains the source code and Matlab examples used for o'brien's test for homogeneity of variances. . In the Obrien's test to check out the homogeneity of variances the data are transforming to yij = ((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.

Computes a two-way multivariate analysis of variance for equal or unequal sample sizes. in matlab

The following Matlab project contains the source code and Matlab examples used for computes a two-way multivariate analysis of variance for equal or unequal sample sizes. . Computing of a two-way multivariate analysis of variance for equal or unequal sample sizes by the testing of the mean differences in several variables among several samples with two factors.

Identification of outliers in a one-way analysis of variance model ii (random effects). in matlab

The following Matlab project contains the source code and Matlab examples used for identification of outliers in a one-way analysis of variance model ii (random effects). . In a one-way analysis of variance random effects model one would expect that the measurements lie close together because the same quantity was measured and states that the class effects stem from a common source and therefore should not difer too much.

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