Master index Index for ./freetb4matlab/statistics/tests

# Index for ./freetb4matlab/statistics/tests

## Matlab files in this directory:

 anova % Perform a one-way analysis of variance (ANOVA). The goal is to test bartlett_test % Perform a Bartlett test for the homogeneity of variances in the data chisquare_test_homogeneity % Given two samples @var{x} and @var{y}, perform a chisquare test for chisquare_test_independence % Perform a chi-square test for independence based on the contingency cor_test % Test whether two samples @var{x} and @var{y} come from uncorrelated f_test_regression % Perform an F test for the null hypothesis rr * b = r in a classical hotelling_test % For a sample @var{x} from a multivariate normal distribution with unknown hotelling_test_2 % For two samples @var{x} from multivariate normal distributions with kolmogorov_smirnov_test % Perform a Kolmogorov-Smirnov test of the null hypothesis that the kolmogorov_smirnov_test_2 % Perform a 2-sample Kolmogorov-Smirnov test of the null hypothesis kruskal_wallis_test % Perform a Kruskal-Wallis one-factor 'analysis of variance'. manova % Perform a one-way multivariate analysis of variance (MANOVA). The mcnemar_test % For a square contingency table @var{x} of data cross-classified on prop_test_2 % If @var{x1} and @var{n1} are the counts of successes and trials in run_test % Perform a chi-square test with 6 degrees of freedom based on the sign_test % For two matched-pair samples @var{x} and @var{y}, perform a sign test t_test % For a sample @var{x} from a normal distribution with unknown mean and t_test_2 % For two samples x and y from normal distributions with unknown means t_test_regression % Perform an t test for the null hypothesis @code{@var{rr} * @var{b} = u_test % For two samples @var{x} and @var{y}, perform a Mann-Whitney U-test of var_test % For two samples @var{x} and @var{y} from normal distributions with welch_test % For two samples @var{x} and @var{y} from normal distributions with wilcoxon_test % For two matched-pair sample vectors @var{x} and @var{y}, perform a z_test % Perform a Z-test of the null hypothesis @code{mean (@var{x}) == z_test_2 % For two samples @var{x} and @var{y} from normal distributions with

Generated on Sat 16-May-2009 00:04:18 by m2html © 2003