# Conover's two sample squared ranks test for equality of variance in matlab

The following Matlab project contains the source code and Matlab examples used for conover's two sample squared ranks test for equality of variance. Performs the nonparametric squared ranks test on quality of variance for two samples.

# Kolmogorov distribution functions in matlab

The following Matlab project contains the source code and Matlab examples used for kolmogorov distribution functions. Add to Your statistic toolbox this functions: KolmCdf - Kolmogorov cumulative distribution function: F(x)=sum((-1)^n*exp(-2*n^2*x^2),n,-inf,inf); KolmPdf - Kolmogorov probability distribution function; KolmInv - Inverse of the Kolmogorov cumulative distribution function.

# Anderson-darling k-sample procedure to test whether k sampled populations are identical. in matlab

The following Matlab project contains the source code and Matlab examples used for anderson-darling k-sample procedure to test whether k sampled populations are identical. . Anderson and Darling (1952, 1954) introduced a goodness-of-fit statistic to test the hypothesis that a random sample comes from a continuous population with a specified distribution function.

# Two dimensional (2d) paired kolmogorov smirnov test in matlab

The following Matlab project contains the source code and Matlab examples used for two dimensional (2d) paired kolmogorov smirnov test. The two-sample Kolmogorov-Smirnov test is a statistical test used to determine whether two sets of data arise from the same or different distributions.

# Anomaly detection in matlab

The following Matlab project contains the source code and Matlab examples used for anomaly detection. Given a matrix with m rows and n cols (m points in R^n), use resampling and the Kolmogorov Smirnov test to score [0,1] all points (as potential outliers) in linear time.

# Xlsseercomputesurvivalfuntionkstest2ver2 in matlab

The following Matlab project contains the source code and Matlab examples used for xlsseercomputesurvivalfuntionkstest2ver2. This program is a SCOPE sub-routine extends Matlab 2-sample Kolmogorov-Smirnov test to test "censored" survival data stored in an excel file.

# Histogram distances in matlab

The following Matlab project contains the source code and Matlab examples used for histogram distances. This package provides implementations of several commonly used histogram distances: - Kullback-Leibler Divergence - Jenson-Shannon Divergence - Jeffrey Divergence - Chi-Square - Kolmogorov-Smirnov - (Histogram) Intersection - (Histogram) Match - Quadratic form The package comes with an example of color image matching (although this might not be the best application idea, imho; anyway, it showcases the code).